uva-cv-lab/Dynamic-RE10K
D-RE10K: Dynamic Real-Estate 10K Dataset Overview This dataset contains the DRE10K training split (15,467 clips, 147,422 frames) and the DRE10K mask test split (76 clips, 1,541 frames), released on Hugging Face for research on self-supervised large view synthesis in dynamic environments. The data is collected from real-estate walkthrough videos and curated specifically for training and evaluating novel view synthesis models in scenes with dynamic objects. Our… See the full description on the dataset page: https://huggingface.co/datasets/uva-cv-lab/Dynamic-RE10K.
| Author / organization | uva-cv-lab |
|---|---|
| License (as declared) | other |
| Downloads | 137 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 6 February 2026 |
| Last updated at source | 10 April 2026 |
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137 now (-4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: D-RE10K: Dynamic Real-Estate 10K Dataset Overview This dataset contains the DRE10K training split (15,467 clips, 147,422 frames) and the DRE10K mask test split (76 clips, 1,541 frames), released on Hugging Face for research on self-supervis → D-RE10K: Dynamic Real-Estate 10K Dataset Overview This dataset contains the DRE10K training split (15,467 clips, 147,422 frames) and the DRE10K mask test split (76 clips, 1,541 frames), released on Hugging Face for research on self-supervis
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