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