liyzzz/World-from-Motion-DyCheck-Masks
World from Motion: DyCheck evaluation masks Dynamic-region masks for the held-out test frames of the seven DyCheck iPhone scenes. They are used only to evaluate the Table 1 reproduction of World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video (NeurIPS 2026). Using these masks lets you skip SAM 3 (a gated model) when reproducing the evaluation. Project page · Paper · Code · Model Which masks these are… See the full description on the dataset page: https://huggingface.co/datasets/liyzzz/World-from-Motion-DyCheck-Masks.
| Author / organization | liyzzz |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 October 2026 |
| Last updated at source | 18 October 2026 |
Connected in the knowledge graph
Recent changes
- 18 Oct 2026 License: none → apache-2.0
- 18 Oct 2026 Description: none → World from Motion: DyCheck evaluation masks Dynamic-region masks for the held-out test frames of the seven DyCheck iPhone scenes. They are used only to evaluate the Table 1 reproduction of World from Motion: Generative Dynamic Gaussian Reco
- 18 Oct 2026 Topics added dycheck, novel-view-synthesis, evaluation, segmentation-masks
Changes detected by Silytics between refreshes of the source.
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.