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{
"schema_version": 2,
"status": "COMPLETE",
"scope": "Only frozen models under astra_blender/models/M1..M4",
"reference": "https://wentingw.github.io/astra-world-model-blog/#_5",
"m1_notice": "M1 model-space metrics use one frozen GT-assisted Sim(3) from five manual camera associations. They are diagnostic and do not represent native metric recovery.",
"protocols": {
"table2": "180 fixed views × 19,200 pixels; optical-Z; GT-valid domain; no per-view fitting",
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"model_surface_seed": 20260923,
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"distance": "exact nearest triangle",
"bidirectional_mean": "arithmetic mean of model→GT and observed GT→model mean distances"
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72,
108,
144
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480
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"metrics": "full-image PSNR, SSIM, LPIPS AlexNet v0.1; no crop/mask/fitting"
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"scope": "100 seeded views drawn without replacement from the 175 modeling frames remaining after excluding fixed views; these are not unseen modeling inputs",
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36,
72,
108,
144
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"metrics": "full-image PSNR, SSIM, LPIPS AlexNet v0.1",
"aggregation": "arithmetic mean over the same frozen 100 views"
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"depth": {
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"domain": "GT valid_domain and finite GT in [0.1, 30] m",
"prediction_valid": "finite prediction in [0.1, 30] m",
"aggregation": "pixel-weighted over all selected frames",
"missing_penalty": "30 m absolute error for each missing prediction"
}
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"missing_penalty": "30 m absolute error for each missing prediction"
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"geometry_source": "视觉推断,无测量尺度",
"modeling_role": "推断布局,编写对象与材质"
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"allowed_inputs": "完整 RGB 视频;选取 180 帧建模",
"geometry_source": "ViPE RGB-only 位姿 → pose-conditioned DA3 深度",
"modeling_role": "将位姿与深度测量组织为对象化场景"
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"method": "M3",
"allowed_inputs": "视频、IMU、相机–IMU 标定",
"geometry_source": "ORB-SLAM3 单目惯性位姿 → pose-conditioned DA3 深度",
"modeling_role": "结合图像、位姿、深度建模"
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"method": "M4",
"allowed_inputs": "视频及 GT camera pose",
"geometry_source": "GT 位姿 → pose-conditioned DA3 深度",
"modeling_role": "与 M3 相同类型的建模流程"
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