| # AgentHOI: minor-revision evaluation materials |
|
|
| Download [agenthoi_minor_revision.zip](agenthoi_minor_revision.zip) and extract it to obtain the `minor_revision/` directory. |
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|
| This release accompanies the additional evaluations in the TOG minor revision of |
| **AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via |
| Implicit Representation Alignment**. |
|
|
| ## Contents |
|
|
| | Directory | Contents | Paper reference | |
| |---|---|---| |
| | `plan_evaluation/` | Plans under single-agent, w/o clipping refiner and full settings; blinded Qwen3-VL annotations; metric outputs and judge scripts | Table 3; supplementary D | |
| | `agent_ablation/` | Keyboard, cream tube, razor and mask inputs, stage outputs and generated videos for full, w/o Perception and w/o Interaction | Fig. 9–10; supplementary Fig. 2–3 | |
| | `motion_text_matching/` | Candidate descriptions, per-case matching results, aggregate results and example RGB/motion frames | Table 4; supplementary Fig. 4 | |
| | `paper_figures/`, `paper_tables/` | Final figure PDFs and table sources | Same numbering as the revised paper | |
|
|
| The fifth and sixth ablation examples from the initial experiment export are |
| excluded. Figures use the final captions and layouts, including the cream-tube |
| hand-transfer example. `M_motion` is the training-only auxiliary motion model. |
|
|
| ## Plan evaluation |
|
|
| The judge is **Qwen3-VL-32B-Instruct**, independent of the |
| **InternVL3.5-38B** planner family. It receives the human reference, object |
| reference, input caption and timeline without the setting label, with greedy |
| decoding. Each timeline has one-second segments. |
|
|
| The reported mechanism metrics are object grounding, explicit acting-hand |
| assignment over contact segments, plan-level hand-state consistency, and the |
| fraction of segments containing more than two motions. Metrics are computed per |
| plan and then averaged. Plans without contact are excluded from the acting-hand |
| metric. Whole-plan body-contact staging and one-step attachment are assessed in |
| a separate pass (`results/contact/`); the preliminary per-segment body-contact |
| labels in `results/mechanism/` are not the paper's body-contact audit. |
|
|
| The decomposition improves object grounding and hand specification. The clipping |
| refiner turns abrupt body attachment into staged contact. Some refined phrases |
| leave the acting hand implicit; the video ablation in the paper shows unchanged |
| InternVL-H and improved TVA and InternVL-inter relative to w/o clipping refiner. |
|
|
| ### Inspect or reproduce the recorded metrics |
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|
| From the extracted `minor_revision` directory: |
|
|
| ```bash |
| python scripts/summarize_release.py |
| python scripts/verify_release.py |
| ``` |
|
|
| `summarize_release.py` recomputes the paper's plan metrics directly from the |
| released judge annotations and the motion matching accuracy from per-case rows. |
| The original aggregate JSON files also retain additional diagnostic metrics. |
|
|
| ### Rerun the plan judge |
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|
| Download the reference images already provided in this dataset repository: |
| `benchmarks/assets/<case-id>/ref_human.png` and `ref_object.png`. Download the |
| local Qwen3-VL-32B-Instruct checkpoint and install a Transformers version that |
| provides `Qwen3VLForConditionalGeneration`, PyTorch and Pillow. The original |
| experiment used multiple GPUs; the release supports configurable GPU selection. |
|
|
| ```bash |
| export AGENTHOI_EVAL_ROOT=/absolute/path/to/agenthoi-eval |
| export PLAN_JUDGE_MODEL=/absolute/path/to/Qwen3-VL-32B-Instruct |
| export PLAN_JUDGE_GPUS=0,1,2,3,4,5,6,7 |
| export PLAN_OUTPUT_DIR=/absolute/path/to/new_judge_results |
| python plan_evaluation/scripts/run_mechanism_qwen.py |
| python plan_evaluation/scripts/mechanism_metrics.py |
| python plan_evaluation/scripts/run_contact_qwen.py |
| ``` |
|
|
| `plans.jsonl` image paths are relative to `AGENTHOI_EVAL_ROOT`. Original variant |
| strings are preserved (`Single Agent (prior)`, `w/o Refiner (prior)`, |
| `Full (prior)`); `(prior)` is an export label. The judge never sees that label. |
| Rerunning inference requires the GPU/model dependencies above. Only data |
| aggregation and release integrity checks were executed during packaging. |
|
|
| ## Agent ablations and intermediate outputs |
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|
| `manifest.json` maps the four cases to reference images and captions. |
| `stage_traces.json` and `plans/matched_cuda_raw/` preserve the structured |
| outputs, including original agent prompts. `videos/` contains the corresponding |
| full-control, no-perception and no-interaction generations. |
|
|
| The keyboard and mask cases illustrate incorrect object categories or |
| unrequested wearing after removing an agent. Fig. 10 uses the cream tube: |
| the refiner inserts alignment with the receiving hand before transfer. |
| The cream-tube video variants show smaller differences than the failure cases. |
|
|
| ## Motion–text matching |
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|
| The test pairs each ground-truth HOMA motion sequence with its correct |
| interaction description and three incorrect actions on the same object. |
| The incorrect actions use the same templates: throwing/catching, putting on |
| the floor/kicking, and lifting overhead/swinging. |
|
|
| All four candidates receive the same Gaussian noise at noise level 0.5 |
| (timestep 500); the candidate with the lowest flow-matching loss is selected. |
| `M_motion` has 84% top-1 accuracy, the base Wan2.1-T2V-1.3B has 14%, and chance |
| is 25%. The model is used for feature alignment during training and removed at |
| inference. |
|
|
| `results/all_cases_comparison.csv` stores measured per-case ranks, losses and |
| top-1 decisions; `data/candidates.json` retains descriptions and encoded-input |
| hashes. Fields such as `input` and `source_video` preserve the original |
| experiment's provenance and are not portable file locations. |
| Example RGB and motion frames are bundled. Full encoded motion latents, |
| the trained `M_motion` checkpoint and its custom inference implementation are |
| not included in the supplied materials, so this release supports reaggregation |
| of the recorded matching results rather than a standalone model-inference rerun. |
|
|
| ## Integrity and provenance |
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|
| `SHA256SUMS` records every released file except itself. `PROVENANCE.json` |
| records the source-archive hashes and packaging transformations. |
| The existing dataset's benchmark images and GT videos remain the source inputs. |
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|
