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add README.md
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README.md
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---
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license: cc-by-4.0
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task_categories:
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- image-to-3d
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tags:
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- 4d
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- multiview
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- mesh
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- animation
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- benchmark
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size_categories:
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- n<1K
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---
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# MV4DBench
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A 31-item multi-view 4D animated mesh benchmark for evaluating image/video → 4D mesh
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reconstruction methods. Each item is rendered from 8 azimuths × N source frames and
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ships with a tracked ground-truth point-cloud (T=16, N=100k, xyz+normal) for chamfer
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distance evaluation.
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## Items
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31 animated GLBs sourced from a curated subset of 3D animations (mixamo characters,
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animal/object scans, etc.). Frame counts range 11 to 757; renders are at 1024×1024,
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24 fps, radius=2.2, elevation=15°.
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## Layout
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```
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<uid>/
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├── source.glb # original animated mesh
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├── meta.json # camera matrices, frame count, fps, etc.
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├── rgba_8views/view_NN_azDDD/frame_*.png # 8 azimuths, transparent bg
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├── rgb_8views/view_NN_azDDD/frame_*.png # 8 azimuths, white bg
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├── anim_4views/view_azDDD.mp4 # 4 azimuths, MP4 videos
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└── gt_surfaces.npy # (16, 100000, 6) tracked GT point cloud, normalized to [-1,1]^3
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```
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The `gt_surfaces.npy` is sampled at 16 evenly-spaced source-frame indices, with
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barycentric tracking on the rest-pose mesh, then normalized so the entire animation
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fits in a [-1,1]^3 cube (matching the bpyrenderer scene-normalization used during
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RGBA rendering — so chamfer scores stay scale-aligned).
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## UID mapping
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Some original UIDs included whitespace/`|` chars; those are sanitized to the leading
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hex stem here. `uid_mapping.json` records the original full names for traceability.
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## Citation
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Used as held-out evaluation for the multi-view test-time-adaptation extension of
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ActionMesh (Meta, 2024). See accompanying paper for chamfer benchmark numbers.
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