arXiv 2610.25011 · cs.CV · 2026-10-18
FineSplat: Fine Patches, Local Groups, Detailed Splats
Hyebin Kim, Hwasik Jeong, Joonhyuk Park, Gyeongjin Kang, Jungwoo Kim, Younghyun Kim, Eunbyung Park
机构待核实
在最新榜 #290 本站收录于 2026-10-24
一句话要点
FineSplat 是前馈式 3D 高斯泼溅重建框架,用更细的图像块恢复细节几何和外观;为避免高分辨率下全局多视图注意力太贵,用“按视图分组 + 局部分组”的双分组策略让相邻视图和局部区域高效交互。
FineSplat is a feed-forward 3D Gaussian Splatting framework built on fine-grained image patches to recover detailed geometry and appearance; a dual-grouping strategy (view-wise plus local grouping) avoids the cost of global multi-view attention at high token resolution.
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
- Spectral-Spatial Interpretation ▲753
- VisionHOPE: Visual Backbones as Self-Modifying Learning Systems ▲296
- EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience ▲189
- Holi-World: Building Holistic World Intelligence from Human-Ego Experience ▲172
- DONIC: Generalist Dexterous Bimanual Tracking Control from Human Demonstrations ▲161
同主题:视觉生成
- StreamEval: Evaluating Interactive Streaming Video Generation Models 2026-10-20 · ▲649
- MaLiang-Harness: A Programmable Path to Image and Video Generation 2026-09-28 · ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation 2026-10-14 · ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models 2026-10-08 · ▲325
- AgentGarten: Code Worlds for Evolving Agents 2026-10-08 · ▲293
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 2026-10-26。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。