Datasets:
Tasks:
Image-to-3D
Size:
1K<n<10K
ArXiv:
Tags:
3d-reconstruction
4d-reconstruction
dynamic-scene
gaussian-splatting
surface-reconstruction
mesh
License:
| license: cc-by-4.0 | |
| viewer: false | |
| pretty_name: "FutureSurf: Future Rendering != Future Surface" | |
| task_categories: | |
| - image-to-3d | |
| tags: | |
| - 3d-reconstruction | |
| - 4d-reconstruction | |
| - dynamic-scene | |
| - gaussian-splatting | |
| - surface-reconstruction | |
| - mesh | |
| - synthetic | |
| - monocular | |
| - benchmark | |
| - future-prediction | |
| size_categories: | |
| - 1K<n<10K | |
| # FutureSurf: Future Rendering ≠ Future Surface | |
| A benchmark for **future-time surface reconstruction**: train on monocular frames up to time *T* | |
| (the observed 75%), then score the reconstructed **surface mesh** at held-out future times *t > T* | |
| (the remaining 25%). | |
| - 📄 **Paper:** [arXiv:2607.21471](https://arxiv.org/abs/2607.21471) | |
| - 💻 **Code / toolkit:** [github.com/Ricky-S/futuresurf](https://github.com/Ricky-S/futuresurf) | |
| ## Files | |
| | file | size | contents | | |
| |------|------|----------| | |
| | `futuresurf_dataset.zip` | ~0.9 GB | 8 controlled motions: renders + per-frame **GT** meshes + transforms + init points | | |
| | `croissant.jsonld` | — | Croissant 1.0 metadata | | |
| ## Download | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| hf_hub_download(repo_id="rickyshi/futuresurf", filename="futuresurf_dataset.zip", repo_type="dataset", local_dir=".") | |
| ``` | |
| ## Layout (per motion, after unzipping) | |
| ``` | |
| dataset/controlled/<motion>/ | |
| images/ r_0.png … r_199.png 200 renders, 800×800 RGBA | |
| mesh_gt/ <motion>0.ply … 199.ply 200 GT meshes (vertex-colored PLY) | |
| transforms_train.json observed: 150 frames (time ≤ 0.75) | |
| transforms_test.json future: 50 frames (time > 0.75) | |
| points3d.ply init point cloud (Gaussian backbones) | |
| ``` | |
| ## Protocol | |
| Train on `transforms_train.json` (observed 75%), then score the extracted mesh against `mesh_gt` | |
| at the future frames. Metric: Chamfer distance on vertex positions. See the paper and toolkit for | |
| the full protocol and scoring code. | |
| ## The 8 controlled motions | |
| **Surface-changing:** | |
| - `wave` — periodic | |
| - `compound` — periodic + trend | |
| - `stretch` — monotonic | |
| - `bulge` — localized | |
| - `accel` — accelerating | |
| **Falsification controls:** | |
| - `twist` — surface-invariant | |
| - `rotate` — rigid rotation | |
| - `stop` — freezing | |
| ## Citation | |
| If you use FutureSurf, please cite: | |
| ```bibtex | |
| @article{shi2026futuresurf, | |
| title = {Future Rendering $\neq$ Future Surface: A Benchmark and Dataset for Dynamic Surface Reconstruction Beyond the Observed Window}, | |
| author = {Shi, Yukun and Gong, Minglun}, | |
| journal = {arXiv preprint arXiv:2607.21471}, | |
| year = {2026} | |
| } | |
| ``` | |
| ## License | |
| **CC BY 4.0** | |