Text-to-Scene only: drop the Image-to-Scene task, views, cases, takeaways and models; v31 teaser

The page now shows the construction setting alone (user, 2026-10-01). scripts/t2s_only.py makes the page edit; the Image-to-Scene models, their progressive geometry and texture bundles, media/i2s and the old teaser are removed.

.gitattributes

@@ -95,3 +95,4 @@ media/t2s/nordic-harbour/qwen-on.jpg filter=lfs diff=lfs merge=lfs -text
 media/t2s/nordic-harbour/sol.jpg filter=lfs diff=lfs merge=lfs -text
 media/teaser-poster.jpg filter=lfs diff=lfs merge=lfs -text
 media/teaser.mp4 filter=lfs diff=lfs merge=lfs -text
+media/teaser-v31.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -6,13 +6,14 @@ colorTo: gray
 sdk: static
 app_file: index.html
 pinned: false
-short_description: Benchmarking coding agents that build and edit 3D scenes
+short_description: Benchmarking coding agents that build 3D scenes
 ---
 
 # Code4Scene
 
-Project page for *Code4Scene: Benchmarking Coding Agents for Constructing and Editing 3D Scenes*: the leaderboard on the
-95-case public set, the paper's takeaways, and selected cases whose saved Unreal Engine scenes can be viewed in 3D.
+Project page for Code4Scene's construction (Text-to-Scene) setting: the leaderboard on the 20-case public set, the paper's
+Spatial Composition takeaway, and selected cases whose saved Unreal Engine scenes can be viewed in 3D. Since 2026-10-01 the
+page shows Text-to-Scene only; `scripts/t2s_only.py` records that edit.
 
 Paper: [arXiv:2609.36777](https://arxiv.org/abs/2609.36777) · Code: [SimWorld-AI/Code4Scene](https://github.com/SimWorld-AI/Code4Scene)
 
@@ -20,23 +21,23 @@ Part of the [SimWorld](https://simworld.org) project.
 
 ## Website design
 
-Layout, navigation, wireframe mark, typography and card geometry follow the user-provided [BuildingBench](https://enactra.ai/buildingbench/) design. The bar chart rendering and company palette are adapted from its [Figure Kit](http://ds-serv12.ucsd.edu:8875/figure-kit/#bar), specifically `bar-static/build.py`. All scores, configurations, authors, media, models and evaluator content remain Code4Scene's. The original 95-public-case paper evaluation is distinguished from the current 201 public cases and the 320-case full benchmark target, including private cases.
+Layout, navigation, wireframe mark, typography and card geometry follow the user-provided [BuildingBench](https://enactra.ai/buildingbench/) design. The bar chart rendering and company palette are adapted from its [Figure Kit](http://ds-serv12.ucsd.edu:8875/figure-kit/#bar), specifically `bar-static/build.py`. All scores, configurations, authors, media, models and evaluator content remain Code4Scene's. The paper's 20-case public Text-to-Scene evaluation is distinguished from the current 129 public construction cases and the 160-case full construction target, including private cases.
 
 The reference toolkit's Inter, IBM Plex Mono and Source Serif 4 font files are bundled with their original SIL Open Font License notices in `assets/fonts/`. Provider marks are from the toolkit's Lobehub icons, used to identify the corresponding model providers.
 
 Deployment remains this Hugging Face static Space: `index.html` and `cases.html`, with the existing media/model paths and headers. The pre-restyle version is recoverable at commit `9ff787d0f9d72905d92f780da56bd2229782b981`.
 
-The Pareto renderer (`assets/pareto.js`) ports the reference toolkit's reversed logarithmic cost axis, connected frontier, provider palette and greedy collision-aware label placement. `data/pareto.json` combines unrounded scores from the existing `data/site.js` with exact mean costs from the original published tables; all three task views recompute non-dominance from those values. The table displays three decimals but sorts at source precision.
+The Pareto renderer (`assets/pareto.js`) ports the reference toolkit's reversed logarithmic cost axis, connected frontier, provider palette and greedy collision-aware label placement. `data/pareto.json` combines unrounded scores from the existing `data/site.js` with exact mean costs from the original published tables; the Text-to-Scene view recomputes non-dominance from those values. The table displays three decimals but sorts at source precision.
 
-Homepage scenes (`assets/scene-cards.js`) adapt BuildingBench's shared WebGL renderer and per-view canvas engine. Existing public packed models are decoded with the same adapter as `cases.html`; geometry and the full case explorer remain unchanged. Visible scenes load automatically; repeated scenes share decoded assets. Drag or arrow keys orbit, wheel or +/- zoom, and the pause control stops rotation. Both Image-to-Scene cards switch between the saved repair, corrupted input and ground truth using the reference camera.
+Homepage scenes (`assets/scene-cards.js`) adapt BuildingBench's shared WebGL renderer and per-view canvas engine. Existing public packed models are decoded with the same adapter as `cases.html`; geometry and the full case explorer remain unchanged. Visible scenes load automatically; repeated scenes share decoded assets. Drag or arrow keys orbit, wheel or +/- zoom, and the pause control stops rotation.
 
 ## Interaction and loading reliability
 
-Task Format switches the entire construction/editing example, including instructions, inputs, saved output and evaluator. Bar marks, labels and Pareto points share pointer, keyboard and tap tooltips with source-precision scores and costs in `data/leaderboard-details.json`. The ranking supports filtering and source-precision sorting.
+Task Format shows the construction example: instructions, inputs, saved output and evaluator. Bar marks, labels and Pareto points share pointer, keyboard and tap tooltips with source-precision scores and costs in `data/leaderboard-details.json`. The ranking supports filtering and source-precision sorting.
 
 Homepage model work uses a shared two-job download/decode queue. Hidden/offscreen views release their request; stale results cannot replace the selected state. Card textures are limited to 512px and render resolution is bounded, while original model files and the full case explorer stay intact. Idle decoded assets are evicted; the 128 MiB cache target is not a hard limit on currently visible geometry. Downloads show progress, abort after 20 seconds without data or 90 seconds total, retry once, then expose an explicit Retry button. Context loss pauses drawing and restoration rebuilds the environment; failures expose recovery instead of an indefinite loading overlay.
 
-Queue tests: `node --test tests/scene-assets.test.mjs`. Browser QA includes public-model cold loads, quick scrolling, task/repair switching, desktop/mobile resize, forced HTTP failures, stalled downloads, retry and WebGL context loss.
+Queue tests: `node --test tests/scene-assets.test.mjs`. Browser QA includes public-model cold loads, quick scrolling, desktop/mobile resize, forced HTTP failures, stalled downloads, retry and WebGL context loss.
 
 ## Geometry-first scene cards
 

assets/buildingbench.css

@@ -14,7 +14,7 @@ html{background:var(--bg);scroll-padding-top:24px}body{color:var(--ink);backgrou
 section,section.alt,section.dark{padding:34px 0;background:transparent;color:var(--text-p)}.section-header,.section-header.centered{text-align:left;margin-bottom:22px;max-width:none}.section-label{display:none}.section-title,section.dark .section-title{font-size:clamp(30px,4.2vw,46px);line-height:1.04;letter-spacing:-1.9px;font-weight:700;color:#171816;margin:6px 0 20px}.section-desc,section.dark .section-desc{font-size:14px;line-height:1.65;max-width:850px;margin:0;color:var(--text-p)}.card{background:white;border:1px solid var(--border);border-radius:20px;box-shadow:none}.card:hover{box-shadow:none}.btn{font-size:12px;padding:10px 14px;border-radius:6px;box-shadow:none;font-weight:600}.btn:hover{transform:none;box-shadow:none}.btn-primary{background:var(--green-dark);color:white;border:1px solid var(--green-dark);box-shadow:none}.btn-primary:hover{background:var(--green);color:white;box-shadow:none}.btn-outline,.btn-dark,section.dark .btn-outline{background:#fff;border:1px solid var(--border);color:var(--green-dark)}
 .task-section{padding-top:0}.task-shell{padding:20px;border:1px solid #d7dbd5;border-radius:28px;background:white}.task-shell>h3{font-size:22px;letter-spacing:-.6px;line-height:1.35;color:var(--text-h);margin:0 0 5px}.task-shell>h3 span{font-weight:500}.task-subtitle{font-size:14px;margin:0 0 20px;color:#60655e}.task-columns{display:grid;grid-template-columns:1fr 1.55fr 1fr;gap:14px}.task-panel{min-width:0;background:#fbfcf9;border:1px solid #d7dbd5;border-radius:18px;padding:14px;display:flex;flex-direction:column}.panel-heading{display:flex;justify-content:space-between;gap:10px;align-items:baseline;margin-bottom:14px;font-size:13px;color:#171816}.panel-heading span{font-size:11px;color:#626960;text-align:right}.prompt-preview{border-radius:12px;background:#f0f3ed;padding:16px;flex:1}.prompt-preview p{font-size:14px;line-height:1.6;margin:9px 0}.prompt-preview .prompt-detail{font-size:12px;color:#747b71}.output-panel img{width:100%;height:253px;object-fit:cover;border:1px solid #e4e4e2;border-radius:12px}.task-foot{font-size:11px;line-height:1.6;color:#626960;margin:12px 0 0}.score-block{padding:20px 18px;border-radius:14px;background:#171816;color:#fff;flex:1;display:flex;flex-direction:column;justify-content:center}.score-block>span{font-size:11px;color:#bbbfba;letter-spacing:.06em}.score-block>strong{font-size:52px;line-height:1.2;letter-spacing:-2px}.score-block dl{margin-top:20px;display:grid;gap:12px}.score-block dl>div{display:flex;justify-content:space-between;gap:8px;align-items:center;font-size:11px}.score-block dd{font-size:15px;font-weight:500;font-variant-numeric:tabular-nums}.task-full{margin-top:18px;border:1px solid var(--border);border-radius:12px}.task-full summary{padding:13px 16px;display:flex;justify-content:space-between;gap:12px;font-size:12px;font-weight:500;cursor:pointer}.task-full summary span+span{font-size:10px;color:var(--text-muted)}.task-full>p{padding:0 18px 18px;font-size:13px;line-height:1.8}.task-settings .grid2{margin:18px 0 0!important;gap:14px}.task-settings .setting-card{padding:16px;background:#fafbf8;border-radius:14px}.setting-card h3{font-size:18px;margin-bottom:7px}.setting-card p{font-size:12px;line-height:1.65}.setting-card .kicker{font-size:10px;color:var(--muted)}.formula{font-size:11px;white-space:normal}.availability{border-bottom:1px solid var(--border);padding:18px 4px;display:flex;gap:10px 24px;flex-wrap:wrap;font-size:11px;line-height:1.7;color:var(--text-muted)}.availability b{color:var(--text-h);font-size:14px}
 .lb-tabs{justify-content:flex-start;margin-bottom:16px}.seg{background:#f0f3ef;border:1px solid var(--border);border-radius:7px;padding:3px;gap:3px}.seg button,.seg-lg button{font-size:12px;padding:8px 14px;border-radius:4px;color:#778178}.seg button.on{background:white;color:var(--ink);box-shadow:0 1px 4px #152a1915}.bar-card{padding:20px 18px 12px;margin-bottom:18px;overflow:hidden}.bar-heading{display:flex;justify-content:space-between;align-items:baseline;padding:0 12px;gap:20px}.bar-heading h3{font:400 31px 'Source Serif 4',Georgia,serif;color:#1a1a1a}.bar-heading span{font-size:12px;color:#8d8d8d}.bar-scroll{overflow:auto;scrollbar-width:thin}.kit-bars{display:block;width:100%;min-width:720px;height:auto}.bar-card .note{margin:0 12px;font-size:11px;color:#738078}.chart-card{padding:20px 24px;margin-bottom:18px}.sub-title{font-size:18px;letter-spacing:-.3px;color:var(--text-h);font-weight:700}.sub-desc{font-size:12px;color:var(--text-muted);line-height:1.6}.ch-legend{font-size:11px;gap:6px 16px;margin-top:14px}.note,.board-note{font-size:11px;color:var(--text-muted)}.board{font-size:13px}.board th{font-size:10px;font-weight:500;color:#7d877d;background:#f8faf6;letter-spacing:.03em}.board td{padding:12px 10px}.board tbody tr:hover{background:#f5f8f2}.board .tag{font-size:9px;background:#edf3ef;color:#4b715d}.board .cellbar i{opacity:.13}.board .cellbar b{color:#284e3f}.board-wrap{overflow:auto}
-.case-grid{grid-template-columns:repeat(3,minmax(0,1fr));gap:16px}.case-grid .case-card{border:1px solid #d7ded5;border-radius:16px;box-shadow:none;background:white;overflow:hidden}.case-grid .case-card:hover{transform:none;border-color:var(--green);box-shadow:none}.case-card .th{aspect-ratio:16/10;background-color:#f1f1ee}.case-card .th i{font-size:10px;color:#36544b;background:#ffffffed;border:1px solid #e1e4de;border-radius:5px}.case-card .meta{padding:15px 16px}.case-card .meta h4{font-size:15px;color:var(--text-h)}.case-card .meta p{font-size:11px;color:var(--text-muted);margin-top:6px}.tk{padding:24px;border:1px solid var(--border);border-radius:22px;background:white;margin:18px 0}.tk .n{font-size:10px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);background:none;padding:0;border:0}.tk h3{font-size:24px;line-height:1.25;letter-spacing:-.7px;max-width:1000px}.tk p.s{font-size:14px;color:#62695e}.tk figure{background:#fbfcf9;border-color:var(--line);border-radius:14px}.tk figcaption{font-size:11px;color:var(--text-muted)}
+.case-grid{grid-template-columns:repeat(2,minmax(0,1fr));gap:16px}.case-grid .case-card{border:1px solid #d7ded5;border-radius:16px;box-shadow:none;background:white;overflow:hidden}.case-grid .case-card:hover{transform:none;border-color:var(--green);box-shadow:none}.case-card .th{aspect-ratio:16/10;background-color:#f1f1ee}.case-card .th i{font-size:10px;color:#36544b;background:#ffffffed;border:1px solid #e1e4de;border-radius:5px}.case-card .meta{padding:15px 16px}.case-card .meta h4{font-size:15px;color:var(--text-h)}.case-card .meta p{font-size:11px;color:var(--text-muted);margin-top:6px}.tk{padding:24px;border:1px solid var(--border);border-radius:22px;background:white;margin:18px 0}.tk .n{font-size:10px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);background:none;padding:0;border:0}.tk h3{font-size:24px;line-height:1.25;letter-spacing:-.7px;max-width:1000px}.tk p.s{font-size:14px;color:#62695e}.tk figure{background:#fbfcf9;border-color:var(--line);border-radius:14px}.tk figcaption{font-size:11px;color:var(--text-muted)}
 .teaser-frame{border:1px solid var(--border);border-radius:20px;box-shadow:none;background:#171816;max-width:none}.teaser-frame video{width:100%;max-height:680px}.author-block{margin:22px 0}.hero-authors{font-size:13px;color:var(--ink);margin-bottom:8px}.hero-affiliations{font-size:11px;color:var(--muted);margin-bottom:0}.paper-abstract{border:1px solid var(--border);border-radius:16px;background:white}.paper-abstract summary{padding:18px 20px;display:flex;justify-content:space-between;gap:20px;cursor:pointer;font-size:15px;font-weight:600;color:var(--text-h)}.paper-abstract summary span{font-size:11px;font-weight:400;color:var(--muted)}.paper-abstract .abstract-card{border:0;box-shadow:none;padding:0 20px 20px;max-width:none;font-size:13px;line-height:1.8}.method-flow .flow{gap:12px;margin-top:24px}.flow .step{background:#fff;border:1px solid var(--border);border-radius:12px;padding:15px}.flow .step:after{display:none}.flow .step .n{font-size:10px;color:var(--green)}.flow .step b{font-size:13px}.flow .step span{font-size:11px}.cite-box{background:white;border:1px solid var(--border);border-radius:16px;max-width:none}.cite-box pre{color:#4d5a50;font-size:12px}.cite-copy-btn{background:#f4f7f0;color:var(--ink);border:1px solid var(--border);border-radius:5px}footer{max-width:1360px;margin:auto;background:transparent;border-top:1px solid var(--border);padding:24px 0;color:var(--muted);text-align:left;font-size:11px}footer a{color:var(--green)}footer p:last-child{color:var(--muted)!important}
 .case-page>section{max-width:1440px;padding-left:40px;padding-right:40px;margin:auto}.case-page .card{border-radius:22px}.case-page .viewer{background:#f1f1ee;border:1px solid #e4e4e2;border-radius:14px}.case-page .casebar button{background:#fff;font-family:Inter,sans-serif;border-radius:10px}.case-page .casebar button.on{background:#edf3f5;border-color:var(--green);color:var(--green-dark)}.case-page .casebar button.on small{color:#647a82}.case-page .panel{border-radius:14px}.case-page .section-title{font-size:38px}.case-page .agents{grid-template-columns:repeat(7,minmax(0,1fr))}
 @media(min-width:1500px){.intro{padding-top:39px;padding-bottom:35px}}

assets/leaderboard-bars.js

@@ -3,7 +3,7 @@
 (async function(){
 const {bindChartTooltip}=await import("./chart-interactions.js?v=20261001c");
 await Promise.all([document.fonts.load('400 13px Inter'),document.fonts.load('700 13px Inter'),document.fonts.load('500 15.5px "IBM Plex Mono"')]);
-const ALL = {"overall": [{"name": "GPT-6 Astra (max)", "org": "OpenAI", "score": 0.6193352866666667, "colour": "#10A37F", "ink": "#ffffff", "label": "62", "new": false}, {"name": "Gemini 3.8 Flash (high)", "org": "Google", "score": 0.6189750266666667, "colour": "#7b1fa2", "ink": "#ffffff", "label": "62", "new": false}, {"name": "Claude Fable 5.1 (max)", "org": "Anthropic", "score": 0.60604898, "colour": "#D97757", "ink": "#ffffff", "label": "61", "new": false}, {"name": "Claude Opus 5 (max)", "org": "Anthropic", "score": 0.5931299933333334, "colour": "#D97757", "ink": "#ffffff", "label": "59", "new": false}, {"name": "GPT-5.6 Sol (high)", "org": "OpenAI", "score": 0.5499994666666667, "colour": "#10A37F", "ink": "#ffffff", "label": "55", "new": false}, {"name": "Muse Spark 1.3 (medium)", "org": "Meta", "score": 0.5022053666666666, "colour": "#42a5f5", "ink": "#111111", "label": "50", "new": false}, {"name": "GLM-5.3 Flash (max)", "org": "Z.ai", "score": 0.4147088666666666, "colour": "#96650b", "ink": "#ffffff", "label": "41", "new": false}, {"name": "Qwen 3.8 27B (thinking off)", "org": "Alibaba", "score": 0.37818169333333335, "colour": "#fe7016", "ink": "#111111", "label": "38", "new": false}, {"name": "Grok 4.6 (high)", "org": "xAI", "score": 0.37567506, "colour": "#111111", "ink": "#ffffff", "label": "38", "new": false}, {"name": "Qwen 3.8 27B (thinking on)", "org": "Alibaba", "score": 0.37094399333333333, "colour": "#fe7016", "ink": "#111111", "label": "37", "new": false}, {"name": "Inkling (high)", "org": "Thinking Machines", "score": 0.31150237333333336, "colour": "#686868", "ink": "#ffffff", "label": "31", "new": false}, {"name": "Gemma 4 31B (thinking on)", "org": "Google", "score": 0.29812257999999997, "colour": "#7b1fa2", "ink": "#ffffff", "label": "30", "new": false}, {"name": "Gemma 4 31B (thinking off)", "org": "Google", "score": 0.28498897333333334, "colour": "#7b1fa2", "ink": "#ffffff", "label": "28", "new": false}, {"name": "DeepSeek V4.1 Flash (high)", "org": "DeepSeek", "score": 0.22658958, "colour": "#3f51e0", "ink": "#ffffff", "label": "23", "new": false}], "t2s": [{"name": "Claude Fable 5.1 (max)", "org": "Anthropic", "score": 0.78775, "colour": "#D97757", "ink": "#ffffff", "label": "79", "new": false}, {"name": "GPT-6 Astra (max)", "org": "OpenAI", "score": 0.72382, "colour": "#10A37F", "ink": "#ffffff", "label": "72", "new": false}, {"name": "Claude Opus 5 (max)", "org": "Anthropic", "score": 0.7181599999999999, "colour": "#D97757", "ink": "#ffffff", "label": "72", "new": false}, {"name": "GPT-5.6 Sol (high)", "org": "OpenAI", "score": 0.70704, "colour": "#10A37F", "ink": "#ffffff", "label": "71", "new": false}, {"name": "Gemini 3.8 Flash (high)", "org": "Google", "score": 0.65689, "colour": "#7b1fa2", "ink": "#ffffff", "label": "66", "new": false}, {"name": "Muse Spark 1.3 (medium)", "org": "Meta", "score": 0.646195, "colour": "#42a5f5", "ink": "#111111", "label": "65", "new": false}, {"name": "Grok 4.6 (high)", "org": "xAI", "score": 0.56721, "colour": "#111111", "ink": "#ffffff", "label": "57", "new": false}, {"name": "Qwen 3.8 27B (thinking off)", "org": "Alibaba", "score": 0.55666, "colour": "#fe7016", "ink": "#111111", "label": "56", "new": false}, {"name": "Qwen 3.8 27B (thinking on)", "org": "Alibaba", "score": 0.51571, "colour": "#fe7016", "ink": "#111111", "label": "52", "new": false}, {"name": "GLM-5.3 Flash (max)", "org": "Z.ai", "score": 0.5094299999999999, "colour": "#96650b", "ink": "#ffffff", "label": "51", "new": false}, {"name": "Gemma 4 31B (thinking on)", "org": "Google", "score": 0.470705, "colour": "#7b1fa2", "ink": "#ffffff", "label": "47", "new": false}, {"name": "Gemma 4 31B (thinking off)", "org": "Google", "score": 0.45494, "colour": "#7b1fa2", "ink": "#ffffff", "label": "45", "new": false}, {"name": "Inkling (high)", "org": "Thinking Machines", "score": 0.42498500000000006, "colour": "#686868", "ink": "#ffffff", "label": "42", "new": false}, {"name": "DeepSeek V4.1 Flash (high)", "org": "DeepSeek", "score": 0.24269, "colour": "#3f51e0", "ink": "#ffffff", "label": "24", "new": false}], "i2s": [{"name": "Gemini 3.8 Flash (high)", "org": "Google", "score": 0.5810600533333334, "colour": "#7b1fa2", "ink": "#ffffff", "label": "58", "new": false}, {"name": "GPT-6 Astra (max)", "org": "OpenAI", "score": 0.5148505733333334, "colour": "#10A37F", "ink": "#ffffff", "label": "51", "new": false}, {"name": "Claude Opus 5 (max)", "org": "Anthropic", "score": 0.46809998666666675, "colour": "#D97757", "ink": "#ffffff", "label": "47", "new": false}, {"name": "Claude Fable 5.1 (max)", "org": "Anthropic", "score": 0.4243479600000001, "colour": "#D97757", "ink": "#ffffff", "label": "42", "new": false}, {"name": "GPT-5.6 Sol (high)", "org": "OpenAI", "score": 0.3929589333333333, "colour": "#10A37F", "ink": "#ffffff", "label": "39", "new": false}, {"name": "Muse Spark 1.3 (medium)", "org": "Meta", "score": 0.35821573333333334, "colour": "#42a5f5", "ink": "#111111", "label": "36", "new": false}, {"name": "GLM-5.3 Flash (max)", "org": "Z.ai", "score": 0.3199877333333333, "colour": "#96650b", "ink": "#ffffff", "label": "32", "new": false}, {"name": "Qwen 3.8 27B (thinking on)", "org": "Alibaba", "score": 0.2261779866666667, "colour": "#fe7016", "ink": "#111111", "label": "23", "new": false}, {"name": "DeepSeek V4.1 Flash (high)", "org": "DeepSeek", "score": 0.21048916, "colour": "#3f51e0", "ink": "#ffffff", "label": "21", "new": false}, {"name": "Qwen 3.8 27B (thinking off)", "org": "Alibaba", "score": 0.19970338666666668, "colour": "#fe7016", "ink": "#111111", "label": "20", "new": false}, {"name": "Inkling (high)", "org": "Thinking Machines", "score": 0.19801974666666666, "colour": "#686868", "ink": "#ffffff", "label": "20", "new": false}, {"name": "Grok 4.6 (high)", "org": "xAI", "score": 0.18414012, "colour": "#111111", "ink": "#ffffff", "label": "18", "new": false}, {"name": "Gemma 4 31B (thinking on)", "org": "Google", "score": 0.12554015999999998, "colour": "#7b1fa2", "ink": "#ffffff", "label": "13", "new": false}, {"name": "Gemma 4 31B (thinking off)", "org": "Google", "score": 0.11503794666666667, "colour": "#7b1fa2", "ink": "#ffffff", "label": "12", "new": false}]};
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 for(const [key,DATA] of Object.entries(ALL)){
 const svg=document.getElementById('bars-'+key), W=1200, H=420;

cases.html

@@ -82,12 +82,12 @@ table.cs td,table.cs th{white-space:nowrap}.panel code{font-size:.82em;backgroun
 .in-open{border:1px solid var(--primary);background:#fff;color:var(--primary-dark);border-radius:8px;padding:.45rem .9rem;font:600 .85rem Inter,sans-serif;cursor:pointer}
 .in-open:hover{background:var(--primary);color:#fff}
 @media(max-width:900px){.in-i2s{grid-template-columns:1fr}}
-</style><script type="importmap">{"imports":{"three":"./assets/vendor/three-r160/build/three.module.js","three/addons/":"./assets/vendor/three-r160/addons/"}}</script><link href="assets/buildingbench.css?v=20261001" rel="stylesheet"/></head><body class="case-page"><a class="skip-link" href="#casebar">Skip to benchmark explorer</a>
+</style><script type="importmap">{"imports":{"three":"./assets/vendor/three-r160/build/three.module.js","three/addons/":"./assets/vendor/three-r160/addons/"}}</script><link href="assets/buildingbench.css?v=20261003t2s" rel="stylesheet"/></head><body class="case-page"><a class="skip-link" href="#casebar">Skip to benchmark explorer</a>
 <header class="site-header"><div class="brand"><a aria-label="Code4Scene home" class="brand-home" href="index.html#top"><svg aria-hidden="true" fill="none" viewbox="0 0 30 32"><path d="M15 2 27 9v14l-12 7L3 23V9L15 2Z M3 9l12 7 12-7 M15 16v14 M9 5.5l12 7v14 M21 5.5l-12 7v14" stroke="currentColor" stroke-linejoin="round" stroke-width="1.6"></path></svg><span>Code4Scene</span></a><a class="brand-by" href="https://simworld.org/">by SimWorld</a></div><nav aria-label="Main navigation"><a href="index.html#top">Benchmark</a><a href="index.html#leaderboard">Leaderboard</a><a class="nav-active" href="index.html#cases">Visualization</a><a href="https://arxiv.org/abs/2609.36777" rel="noopener" target="_blank">Paper ↗</a><a href="https://github.com/SimWorld-AI/Code4Scene" rel="noopener" target="_blank">Github ↗</a></nav></header>
 <section class="alt" style="padding-top:34px;padding-bottom:40px"><div class="container">
 <div class="section-header" style="margin-bottom:1.6rem"><span class="section-label">Cases</span><h2 class="section-title">Every scene in 3D, with its scores</h2>
 <p class="section-desc">Each agent's result is the engine-native scene it saved, exported from Unreal Engine so you can turn it in the browser. Beside it, how the
-evaluator scored that scene. 6 cases, 41 scenes in 3D. Pick a case, then an agent.</p></div>
+evaluator scored that scene. 4 cases, 29 scenes in 3D. Pick a case, then an agent.</p></div>
 <div class="casebar" id="casebar"></div>
 <div class="card" style="padding:1.4rem 1.5rem"><div class="case-head"><h3 id="ctitle"></h3><p><b id="ctrack"></b> · <span id="cnote"></span></p></div>
 <div class="case-input" id="cinput"></div>
@@ -99,7 +99,7 @@ evaluator scored that scene. 6 cases, 41 scenes in 3D. Pick a case, then an agen
 <footer><p>Code4Scene  ·  UC San Diego &amp; UC Berkeley  ·  <a href="https://arxiv.org/abs/2609.36777" rel="noopener" target="_blank">arXiv:2609.36777</a>  ·  <a href="https://github.com/SimWorld-AI/Code4Scene" rel="noopener" target="_blank">GitHub</a>  · 
 <a href="https://simworld.org/" rel="noopener" target="_blank">SimWorld Home</a></p>
 <p style="margin-top:.5rem;font-size:.75rem;color:rgba(255,255,255,.25)">Part of the SimWorld project.</p></footer>
-<script src="assets/paper.js?v=5427505a"></script><script src="data/site.js?v=0b09af46"></script><script type="module">import * as THREE from "three";
+<script src="assets/paper.js?v=5427505a"></script><script src="data/site.js?v=20261003t2s"></script><script type="module">import * as THREE from "three";
 import { GLTFLoader } from "three/addons/loaders/GLTFLoader.js";
 import { OrbitControls } from "three/addons/controls/OrbitControls.js";
 import { MeshoptDecoder } from "three/addons/libs/meshopt_decoder.module.js";
@@ -309,7 +309,9 @@ const btn = c => { const n = c.agents.filter(a => a.glb).length + (c.gt_glb ? 1
   return `<button data-id="${c.id}"><span>${c.title}</span><small>${n} scenes</small></button>`; };
 const row = (track, name, kind) => `<div class="cb-row"><div class="grp"><b>${name}</b><span>${kind}</span></div><div class="cb-btns">`
   + S.cases.filter(c => c.track === track).map(btn).join("") + `</div></div>`;
-$("casebar").innerHTML = row("t2s", "Text-to-Scene", "construction") + row("i2s", "Image-to-Scene", "editing");
+// a setting gets a row only when the site carries cases for it (Text-to-Scene only since 2026-10-01)
+$("casebar").innerHTML = [["t2s", "Text-to-Scene", "construction"], ["i2s", "Image-to-Scene", "editing"]]
+  .filter(([t]) => S.cases.some(c => c.track === t)).map(([t, n, k]) => row(t, n, k)).join("");
 $("casebar").querySelectorAll("button").forEach(b => b.onclick = () => pick(b.dataset.id));
 const h = location.hash.slice(1);
 pick(S.cases.find(c => c.id === h) ? h : S.cases[0].id);

data/progressive-scenes.json

@@ -1,36 +1,4 @@
 {
-  "38071c69a86d174dc55f.bin": {
-    "geometry": "models/progressive-v1/geo-b0e37abcf8f8538d5c7c567d.bin",
-    "originalBytes": 7634384,
-    "geometryBytes": 5524292,
-    "textureBytes": 2144862,
-    "images": 286,
-    "bundles": 9
-  },
-  "46734878f740aae816d8.bin": {
-    "geometry": "models/progressive-v1/geo-cfc8f9530bbdf82e9ad5803e.bin",
-    "originalBytes": 8173240,
-    "geometryBytes": 6144796,
-    "textureBytes": 2056820,
-    "images": 232,
-    "bundles": 8
-  },
-  "66da6868d20ebb100197.bin": {
-    "geometry": "models/progressive-v1/geo-2cb0699fcdfbb0077b14a03a.bin",
-    "originalBytes": 7634592,
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"media/t2s/medieval-big-farm-town/gemma-on-v2.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/gemma-on-v3.jpg?v=1790542353"], "glb": null, "findings": null, "judge": null}, {"key": "inkling", "s": 0.2882, "detailed": 0.2343, "overview": 0.1945, "phys": 0.623, "img": "media/t2s/medieval-big-farm-town/inkling.jpg?v=1790542353", "views": ["media/t2s/medieval-big-farm-town/inkling-v0.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/inkling-v1.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/inkling-v2.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/inkling-v3.jpg?v=1790542353"], "glb": null, "findings": null, "judge": null}, {"key": "deepseek", "s": 0.2577, "detailed": 0.1419, "overview": 0.0488, "phys": 1.0, "img": "media/t2s/medieval-big-farm-town/deepseek.jpg?v=1790542357", "views": ["media/t2s/medieval-big-farm-town/deepseek-v0.jpg?v=1790542357", "media/t2s/medieval-big-farm-town/deepseek-v1.jpg?v=1790542357", 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Place one compact rectangular temple as the dominant structure, its massive pale sandstone walls slightly battered and articulated with shallow projecting sections, engraved panels, faded figures and hieroglyphic bands, thin gold accents, and turquoise, yellow, red, and blue painted friezes. Give it a flat, nearly complete slab roof enclosed by an uneven pale stone coping. Orient the decorated entrance toward an open forecourt: the fa\u00e7ade should have a broad shadowed central opening, several closely spaced papyrus-style columns with colorful flared capitals, shorter square supports, and low painted railings, revealing a dark columned interior and a faintly illuminated passage beyond. Keep the other three elevations mostly solid and monumental, with repeated rectangular relief panels and horizontal ornamental courses. In front and slightly to one side, arrange the remains of a detached colonnade: four tall, slender painted columns set in a loose line beneath two incomplete, offset sandstone lintel beams, leaving obvious gaps and broken continuity. Scatter an irregular trail of cracked paving slabs and small fragments around their bases, partly swallowed by sand.", "agents": [{"key": "opus", "s": 0.7767, "detailed": 0.8268, "overview": 0.7189, "phys": 0.9002, "img": "media/t2s/egyptian-temple/opus.jpg?v=1790542327", "views": ["media/t2s/egyptian-temple/opus-v0.jpg?v=1790542327", "media/t2s/egyptian-temple/opus-v1.jpg?v=1790542327", "media/t2s/egyptian-temple/opus-v2.jpg?v=1790542327", "media/t2s/egyptian-temple/opus-v3.jpg?v=1790542327"], "glb": "models/fa367ea5d33ed24f577a.bin?v=1790737099", "findings": null, "judge": null}, {"key": "fable", "s": 0.7511, "detailed": 0.8623, "overview": 0.6347, "phys": 0.9892, "img": "media/t2s/egyptian-temple/fable.jpg?v=1790542327", "views": ["media/t2s/egyptian-temple/fable-v0.jpg?v=1790542327", "media/t2s/egyptian-temple/fable-v1.jpg?v=1790542327", "media/t2s/egyptian-temple/fable-v2.jpg?v=1790542327", "media/t2s/egyptian-temple/fable-v3.jpg?v=1790542327"], "glb": 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"findings": null, "judge": null}, {"key": "gemini", "s": 0.7171, "detailed": 0.711, "overview": 0.8214, "phys": 0.4104, "img": "media/t2s/egyptian-temple/gemini.jpg?v=1790542322", "views": ["media/t2s/egyptian-temple/gemini-v0.jpg?v=1790542322", "media/t2s/egyptian-temple/gemini-v1.jpg?v=1790542322", "media/t2s/egyptian-temple/gemini-v2.jpg?v=1790542323", "media/t2s/egyptian-temple/gemini-v3.jpg?v=1790542323"], "glb": null, "findings": null, "judge": null}, {"key": "sol", "s": 0.6972, "detailed": 0.7004, "overview": 0.742, "phys": 0.5595, "img": "media/t2s/egyptian-temple/sol.jpg?v=1790542321", "views": ["media/t2s/egyptian-temple/sol-v0.jpg?v=1790542321", "media/t2s/egyptian-temple/sol-v1.jpg?v=1790542321", "media/t2s/egyptian-temple/sol-v2.jpg?v=1790542322", "media/t2s/egyptian-temple/sol-v3.jpg?v=1790542322"], "glb": "models/a32fa4ebc640e2278635.bin?v=1790737099", "findings": [["match", "slab roof (0.95)"], ["match", "stone coping (0.82)"], ["mismatch", "slab roof enclosed by an 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null, "findings": null, "judge": null}, {"key": "gemma-on", "s": 0.5563, "detailed": 0.5673, "overview": 0.5086, "phys": 0.6885, "img": "media/t2s/egyptian-temple/gemma-on.jpg?v=1790542325", "views": ["media/t2s/egyptian-temple/gemma-on-v0.jpg?v=1790542325", "media/t2s/egyptian-temple/gemma-on-v1.jpg?v=1790542325", "media/t2s/egyptian-temple/gemma-on-v2.jpg?v=1790542325", "media/t2s/egyptian-temple/gemma-on-v3.jpg?v=1790542325"], "glb": null, "findings": null, "judge": null}, {"key": "inkling", "s": 0.5255, "detailed": 0.6511, "overview": 0.6123, "phys": 0.1397, "img": "media/t2s/egyptian-temple/inkling.jpg?v=1790542325", "views": ["media/t2s/egyptian-temple/inkling-v0.jpg?v=1790542325", "media/t2s/egyptian-temple/inkling-v1.jpg?v=1790542325", "media/t2s/egyptian-temple/inkling-v2.jpg?v=1790542325", "media/t2s/egyptian-temple/inkling-v3.jpg?v=1790542325"], "glb": null, "findings": null, "judge": null}, {"key": "glm", "s": 0.5155, "detailed": 0.0, "overview": 0.6913, "phys": 0.5035, 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"media/t2s/egyptian-temple/muse-v1.jpg?v=1790542327", "media/t2s/egyptian-temple/muse-v2.jpg?v=1790542327", "media/t2s/egyptian-temple/muse-v3.jpg?v=1790542327"], "glb": null, "findings": null, "judge": null}, {"key": "gemma-off", "s": 0.3076, "detailed": 0.274, "overview": 0.2584, "phys": 0.4888, "img": "media/t2s/egyptian-temple/gemma-off.jpg?v=1790542323", "views": ["media/t2s/egyptian-temple/gemma-off-v0.jpg?v=1790542323", "media/t2s/egyptian-temple/gemma-off-v1.jpg?v=1790542324", "media/t2s/egyptian-temple/gemma-off-v2.jpg?v=1790542324", "media/t2s/egyptian-temple/gemma-off-v3.jpg?v=1790542324"], "glb": null, "findings": null, "judge": null}]}, {"id": "bazaar", "track": "t2s", "title": "Bazaar", "note": "Paper Figure 11.", "prompt": "Build me a monumental, fortress-like stone bazaar or palace complex with a stark, dramatic mood, rendered against a black empty background. Enclose the scene with a broad irregular ring of very tall pale sandstone walls, regularly reinforced by square crenellated towers and occasional massive gate-like openings. Inside, cluster roughly a dozen flat-roofed, blocky buildings tightly around narrow passages, small courtyards, terraces, and a compact market area with scattered colorful awnings and stalls. Place a large square domed pavilion slightly apart from the central cluster, linked by elevated platforms and broad paved walkways. Add several slender cylindrical minaret-like towers capped with bright gold onion domes, concentrated around the inner buildings and along the enclosing walls, plus arcaded balconies, parapets, stairways, and smaller rooftop domes. Use pale tiled or stone ground for the few open plazas, while leaving large gaps between structures as featureless black voids. Keep the core dense, layered, and irregular, but surround it with comparatively sparse open space and an ordered defensive perimeter.", "agents": [{"key": "fable", "s": 0.9296, "detailed": 0.924, "overview": 0.9085, "phys": 0.9987, "img": "media/t2s/bazaar/fable.jpg?v=1790542281", "views": ["media/t2s/bazaar/fable-v0.jpg?v=1790542281", "media/t2s/bazaar/fable-v1.jpg?v=1790542281", "media/t2s/bazaar/fable-v2.jpg?v=1790542281", "media/t2s/bazaar/fable-v3.jpg?v=1790542281"], "glb": "models/feb923d4f4f257315904.bin?v=1790737098", "findings": null, "judge": null}, {"key": "astra", "s": 0.8828, "detailed": 0.875, "overview": 0.9011, "phys": 0.8355, "img": "media/t2s/bazaar/astra.jpg?v=1790542280", "views": ["media/t2s/bazaar/astra-v0.jpg?v=1790542280", "media/t2s/bazaar/astra-v1.jpg?v=1790542280", "media/t2s/bazaar/astra-v2.jpg?v=1790542280", "media/t2s/bazaar/astra-v3.jpg?v=1790542280"], "glb": "models/d46f4510a1aa3ef0aa0f.bin?v=1790737098", "findings": null, "judge": null}, {"key": "opus", 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null, "findings": null, "judge": null}, {"key": "inkling", "s": 0.3964, "detailed": 0.0208, "overview": 0.3734, "phys": 0.8409, "img": "media/t2s/nordic-harbour/inkling.jpg?v=1790542378", "views": ["media/t2s/nordic-harbour/inkling-v0.jpg?v=1790542378", "media/t2s/nordic-harbour/inkling-v1.jpg?v=1790542378", "media/t2s/nordic-harbour/inkling-v2.jpg?v=1790542378", "media/t2s/nordic-harbour/inkling-v3.jpg?v=1790542378"], "glb": "models/ab9c9e18691a778f7162.bin?v=1790737100", "findings": null, "judge": null}, {"key": "gemma-on", "s": 0.2962, "detailed": 0.1471, "overview": 0.2779, "phys": 0.5002, "img": "media/t2s/nordic-harbour/gemma-on.jpg?v=1790542377", "views": ["media/t2s/nordic-harbour/gemma-on-v0.jpg?v=1790542377", "media/t2s/nordic-harbour/gemma-on-v1.jpg?v=1790542377", "media/t2s/nordic-harbour/gemma-on-v2.jpg?v=1790542377", "media/t2s/nordic-harbour/gemma-on-v3.jpg?v=1790542378"], "glb": "models/3f48c96f6a8699b40ecd.bin?v=1790737100", "findings": null, "judge": null}, {"key": "qwen-on", "s": 0.2514, "detailed": 0.1397, "overview": 0.2039, "phys": 0.5055, "img": "media/t2s/nordic-harbour/qwen-on.jpg?v=1790542379", "views": ["media/t2s/nordic-harbour/qwen-on-v0.jpg?v=1790542379", "media/t2s/nordic-harbour/qwen-on-v1.jpg?v=1790542379", "media/t2s/nordic-harbour/qwen-on-v2.jpg?v=1790542380", "media/t2s/nordic-harbour/qwen-on-v3.jpg?v=1790542380"], "glb": null, "findings": null, "judge": null}, {"key": "deepseek", "s": 0.0, "detailed": 0.0, "overview": 0.0, "phys": 0.0, "img": "media/t2s/nordic-harbour/deepseek.jpg?v=1790542381", "views": ["media/t2s/nordic-harbour/deepseek-v0.jpg?v=1790542381", "media/t2s/nordic-harbour/deepseek-v1.jpg?v=1790542381", "media/t2s/nordic-harbour/deepseek-v2.jpg?v=1790542381", "media/t2s/nordic-harbour/deepseek-v3.jpg?v=1790542381"], "glb": null, "findings": null, "judge": null}]}, {"id": "medieval-big-farm-town", "track": "t2s", "title": "Medieval Big Farm Town", "note": "Paper Figure 8.", "prompt": "Build me a sprawling medieval farm town set in a rugged, enclosed mountain basin, with a dense fortified settlement occupying the rocky northern half and broad, open farmland spreading southward. Ring the scene with massive irregular gray boulders, steep mossy outcrops, scattered grassy plateaus, and narrow turquoise streams that descend through gaps in the rocks, including several small white waterfalls. Place roughly sixty to eighty compact timber-and-stone buildings inside and around a rectangular walled town: mostly one- and two-story houses with dark wooden framing, pale infill or masonry walls, and steep orange-brown tiled roofs. Arrange them tightly and organically along narrow dirt lanes, small courtyards, canals, and bridges, with taller square gate towers and watchtowers punctuating the long timber-and-stone walls. Outside the walls, transition to a much sparser patchwork of fenced fields, orchards, livestock enclosures, winding dirt tracks, isolated cottages, sheds, tents, carts, stacked materials, and scattered rocks. Distribute several tall wooden windmills across the fields, some attached to heavy stone or timber tower bases, and place additional lookout buildings on remote rocky peaks and grassy ledges. Let streams skirt both sides of the settlement, feed small turquoise pools within the town, and pass beneath simple wooden footbridges. Use uneven grassy ground with worn pale paths, low fences, shrubs, tall grass, and thin, irregularly spaced trees, keeping the town center crowded and layered while the agricultural outskirts remain open, loosely ordered, and visibly bounded by cliffs and boulder formations.", "agents": [{"key": "fable", "s": 0.8298, "detailed": 0.782, "overview": 0.8379, "phys": 0.8535, "img": "media/t2s/medieval-big-farm-town/fable.jpg?v=1790542357", "views": ["media/t2s/medieval-big-farm-town/fable-v0.jpg?v=1790542357", "media/t2s/medieval-big-farm-town/fable-v1.jpg?v=1790542357", "media/t2s/medieval-big-farm-town/fable-v2.jpg?v=1790542357", "media/t2s/medieval-big-farm-town/fable-v3.jpg?v=1790542357"], "glb": "models/cb082e689f15e654daab.bin?v=1790737099", "findings": null, "judge": null}, {"key": "opus", "s": 0.8088, "detailed": 0.6326, "overview": 0.8073, "phys": 0.9896, "img": "media/t2s/medieval-big-farm-town/opus.jpg?v=1790542356", "views": 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"media/t2s/medieval-big-farm-town/gemma-on-v2.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/gemma-on-v3.jpg?v=1790542353"], "glb": null, "findings": null, "judge": null}, {"key": "inkling", "s": 0.2882, "detailed": 0.2343, "overview": 0.1945, "phys": 0.623, "img": "media/t2s/medieval-big-farm-town/inkling.jpg?v=1790542353", "views": ["media/t2s/medieval-big-farm-town/inkling-v0.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/inkling-v1.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/inkling-v2.jpg?v=1790542353", "media/t2s/medieval-big-farm-town/inkling-v3.jpg?v=1790542353"], "glb": null, "findings": null, "judge": null}, {"key": "deepseek", "s": 0.2577, "detailed": 0.1419, "overview": 0.0488, "phys": 1.0, "img": "media/t2s/medieval-big-farm-town/deepseek.jpg?v=1790542357", "views": ["media/t2s/medieval-big-farm-town/deepseek-v0.jpg?v=1790542357", "media/t2s/medieval-big-farm-town/deepseek-v1.jpg?v=1790542357", 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Place one compact rectangular temple as the dominant structure, its massive pale sandstone walls slightly battered and articulated with shallow projecting sections, engraved panels, faded figures and hieroglyphic bands, thin gold accents, and turquoise, yellow, red, and blue painted friezes. Give it a flat, nearly complete slab roof enclosed by an uneven pale stone coping. Orient the decorated entrance toward an open forecourt: the fa\u00e7ade should have a broad shadowed central opening, several closely spaced papyrus-style columns with colorful flared capitals, shorter square supports, and low painted railings, revealing a dark columned interior and a faintly illuminated passage beyond. Keep the other three elevations mostly solid and monumental, with repeated rectangular relief panels and horizontal ornamental courses. In front and slightly to one side, arrange the remains of a detached colonnade: four tall, slender painted columns set in a loose line beneath two incomplete, offset sandstone lintel beams, leaving obvious gaps and broken continuity. Scatter an irregular trail of cracked paving slabs and small fragments around their bases, partly swallowed by sand.", "agents": [{"key": "opus", "s": 0.7767, "detailed": 0.8268, "overview": 0.7189, "phys": 0.9002, "img": "media/t2s/egyptian-temple/opus.jpg?v=1790542327", "views": ["media/t2s/egyptian-temple/opus-v0.jpg?v=1790542327", "media/t2s/egyptian-temple/opus-v1.jpg?v=1790542327", "media/t2s/egyptian-temple/opus-v2.jpg?v=1790542327", "media/t2s/egyptian-temple/opus-v3.jpg?v=1790542327"], "glb": "models/fa367ea5d33ed24f577a.bin?v=1790737099", "findings": null, "judge": null}, {"key": "fable", "s": 0.7511, "detailed": 0.8623, "overview": 0.6347, "phys": 0.9892, "img": "media/t2s/egyptian-temple/fable.jpg?v=1790542327", "views": ["media/t2s/egyptian-temple/fable-v0.jpg?v=1790542327", "media/t2s/egyptian-temple/fable-v1.jpg?v=1790542327", "media/t2s/egyptian-temple/fable-v2.jpg?v=1790542327", "media/t2s/egyptian-temple/fable-v3.jpg?v=1790542327"], "glb": 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