arXiv 2610.10539 · cs.CV · 2026-10-07
Tetris3D: 3D Scene Generation With Objects That Fit Together
Jaeyeong Kim, Jinhyuk Jang, Jongmin Lee, Kyehong Park, Seungryong Kim
KAIST AI
在最新榜 #252 本站收录于 2026-10-21
一句话要点
Tetris3D 在单图 3D 场景重建中按邻近物体的几何和物理关系生成每个物体，让物体彼此契合。
Tetris3D conditions each object on its neighbours' geometry and physical relations so single-image 3D scenes fit together.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：视觉理解与 3D
- VisionHOPE: Visual Backbones as Self-Modifying Learning Systems ▲296
- EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience ▲170
- Holi-World: Building Holistic World Intelligence from Human-Ego Experience ▲156
- GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed ▲94
- EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling ▲60
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。