nnsriram97/phyco_kubric
PhyCo-Sim: Synthetic Physics Simulation Dataset This dataset accompanies the paper: PhyCo: Learning Controllable Physical Priors for Generative MotionSriram Narayanan, Ziyu Jiang, Srinivasa G. Narasimhan, Manmohan ChandrakerCVPR 2026Project Page | arXiv | PDF PhyCo learns fine-grained, continuously controllable physical priors — friction, restitution, deformation, and applied force — from synthetic simulations, enabling physically grounded video generation without a simulator… See the full description on the dataset page: https://huggingface.co/datasets/nnsriram97/phyco_kubric.
| Author / organization | nnsriram97 |
|---|---|
| License (as declared) | cc-by-nd-4.0 |
| Downloads | 347 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 25 April 2026 |
| Last updated at source | 1 May 2026 |
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347 now (+25 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- PhyCo: Learning Controllable Physical Priors for Generative MotionPaper · cites
- nnsriram97/phycoModel · used to train
Recent changes
- 17 Oct 2026 Description: PhyCo-Sim: Synthetic Physics Simulation Dataset This dataset accompanies the paper: PhyCo: Learning Controllable Physical Priors for Generative MotionSriram Narayanan, Ziyu Jiang, Srinivasa G. Narasimhan, Manmohan ChandrakerCVPR 2026Project → PhyCo-Sim: Synthetic Physics Simulation Dataset This dataset accompanies the paper: PhyCo: Learning Controllable Physical Priors for Generative MotionSriram Narayanan, Ziyu Jiang, Srinivasa G. Narasimhan, Manmohan ChandrakerCVPR 2026Project
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