arXiv 2610.28632 · cs.CV · 2026-10-20
Joints, Camera, Action! Co-Generating 3D Motion and Video for Arbitrary Rigs
Noam Rotstein, Yoad Tewel, Chen Tessler, Haggai Maron, Gal Chechik, Or Litany, Yoni Kasten, Yuval Atzmon
NVIDIA
在最新榜 #302 本站收录于 2026-10-22
一句话要点
NVIDIA 提出给任意骨骼同时生成视频和可回放的 3D 动作及相机，把视频里的动作直接用于 3D 资产。
Co-generates video, replayable 3D motion for any rig and a registering camera, turning video-model motion into usable 3D animation.
阅读 arXiv 原文 PDF Hugging Face 讨论 项目页
主题与学科
同主题：视觉生成
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation ▲197
- Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds ▲182
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。