--- title: InfiniSplat emoji: 🌌 colorFrom: gray colorTo: green sdk: gradio sdk_version: 6.20.0 python_version: "3.10.13" app_file: app.py short_description: Single-image Gaussian reconstruction startup_duration_timeout: 30m models: - PLUS-WAVE/InfiniSplat preload_from_hub: - PLUS-WAVE/InfiniSplat checkpoints/infinisplat_rgb.ckpt ---

🌌 InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis

Conditionally accepted to SIGGRAPH Asia 2026 (Journal Track)

Jiawei Wang^* • Hao Yu^* • Yongzhen Hu • Xinyi Yang • Tao Ni • Xin Zhan • Junbo Chen^†
Xiaowei Zhou • Ruizhen Hu • Sida Peng^†

^* Equal contribution. ^† Corresponding authors.

## 📣 News > **[2026-07]** 🎉 InfiniSplat has been conditionally accepted to SIGGRAPH Asia 2026 (Journal Track)! > **[2026-07]** 🎉 Inference code for RGB-only and depth-sensor-guided 3D Gaussian reconstruction is available now! ## 🧩 What can InfiniSplat do? InfiniSplat supports two practical modes for single-image 3D Gaussian reconstruction: | Capability | Input | Output | | --- | --- | --- | | Monocular 3D Gaussian Reconstruction | RGB Image | 3DGS | | Depth-Sensor-Guided 3D Gaussian Reconstruction | RGB Image + Depth | 3DGS | ## ⚙️ Installation Please see [INSTALL.md](INSTALL.md) for environment setup and checkpoint download. ## 🚀 Inference ### RGB Only Run a single image: ```bash python -m src.demo.infer_batch_images --input examples/data/rgb_demo/pexels-masi.jpg ``` Run a directory using the bundled examples: ```bash python -m src.demo.infer_batch_images --input examples/data/rgb_demo ``` ### Depth-Sensor-Guided Reconstruction Run a single RGB and depth pair with matching filename stems in the same directory: ```bash python -m src.demo.infer_batch_images \ --mode lidar \ --input examples/data/lidar_demo/eth3d_kicker.png ``` Run the bundled RGB and depth pairs: ```bash python -m src.demo.infer_batch_images \ --mode lidar \ --input examples/data/lidar_demo ``` See [docs/inference.md](docs/inference.md) for camera parameters, output control, and other optional arguments. ## 🖥️ Web Demo The local Gradio demo provides RGB reconstruction, staged PLY and standalone HTML downloads, and an interactive Gaussian viewer. After preparing the inference environment, launch it with: ```bash python demo.py ``` Open `http://127.0.0.1:7860` in a browser. The demo reuses `checkpoints/infinisplat_rgb.ckpt` when available and otherwise downloads the released RGB checkpoint from `PLUS-WAVE/InfiniSplat`. Set `INFINISPLAT_CHECKPOINT` to use a checkpoint at another path. The hosted version is available on the [Hugging Face Space](https://huggingface.co/spaces/PLUS-WAVE/InfiniSplat). ## 🙏 Acknowledgments We sincerely thank the authors of [DINOv3](https://github.com/facebookresearch/dinov3), [Depth Pro](https://github.com/apple/ml-depth-pro), [InfiniDepth](https://github.com/zju3dv/InfiniDepth), and [gsplat](https://github.com/nerfstudio-project/gsplat) for their excellent work. InfiniSplat is built on top of these projects. ---

**Thank you for your interest in InfiniSplat!** _{⭐ Star this repo if you find it interesting!}