zju3dv / InfiniSplat
git clone https://github.com/zju3dv/InfiniSplat.git
v2 · 7d ago
InfiniSplat v1 & v2: Feed-Forward 3D Gaussian Reconstruction
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LanguagePython
License—
Created2026-07-24 (3mo ago)
Last push3d ago
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- GitHub: github.com/zju3dv/InfiniSplat
- Homepage: https://github.com/zju3dv/InfiniSplat#readme
- Releases · Issues · Hacker News mentions
README excerpt
InfiniSplat From images to 3D Gaussian scenes Feed-forward reconstruction for novel-view rendering. Explore multi-view reconstruction (v2) or single-image reconstruction with optional LiDAR depth (v1). | | InfiniSplat v2 · Multi-view | InfiniSplat v1 · Single image / LiDAR | | --- | --- | --- | | Input | Multiple images, with or without camera poses | One RGB image, optionally guided by LiDAR depth | | Explore | Code and usage · Live demo | Code and usage · Live demo | --- 🌐 InfiniSplat v2: Analyzing and Improving Feed-Forward 3DGS from Any Views Yongzhen Hu * · Hao Yu * · Jiawei Wang · Xianming Zeng · Jianyun Xu Xingliang Liu · Ruizhen Hu · Xiaowei Zhou · Hujun Bao · Sida Peng † * Equal contribution. † Corresponding author. InfiniSplat v2 reconstructs 3D Gaussian scenes from multiple images, with or without camera poses, for novel-view rendering. Code and usage · Installation · Inference guide · COLMAP guide · 360° panorama → 3DGS --- 🌌 InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis SIGGRAPH Asia 2026 (ACM Transactions on Graphics) Jiawei Wang * · Hao Yu * · Yongzhen Hu · Xinyi Yang · Tao Ni Xin Zhan · Junbo Chen † · Xiaowei Zhou · Ruizhen Hu · Sida Peng † * Equal contribution. † Corresponding authors. InfiniSplat v1 reconstructs 3D Gaussian scenes from a single RGB image, optionally guided by LiDAR depth, for novel-view rendering. Code and usage · Installation · Inference guide --- ## Getting started From the repository root, run `cd InfiniSplat_v2` for multi-view reconstruction or `cd InfiniSplat_v1` for single-image / LiDAR-guided reconstruction, then follow that version's installation guide. Install each version in its own Python environment; their dependencies and weights differ. ## License and Project Use License: Project Registration License (PRL) v1.0 Use solely for academic research, education, evaluation, or personal purposes is free and does not require registration. Research results and publications may be published without registration. Project use by companies, universities, or other organizations is free but requires prior registration, including non-commercial projects, internal R&D, testing, deployment, and production. Complete and accurate registration automatically grants permission; no approval or fee is required. Register each materially distinct project once. **Project use registration and Word template:** Google Forms V1 and v2 share the project license above. Third-party components retain their respective licenses and notices; see v2 component provenance. ## Acknowledgments See the v1 acknowledgments and v2 acknowledgments. ### Panorama to 3DGS (v2) Reconstruct a 360° panorama with the included `small_empty_house` example. Inspired by Enndee.