InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis
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Overview
InfiniSplat reconstructs a 3D Gaussian scene representation from a single image. It supports RGB-only reconstruction and depth-sensor-guided reconstruction from a spatially aligned RGB-depth pair.
| Checkpoint | Input | Output |
|---|---|---|
infinisplat_rgb.ckpt | RGB image | 3D Gaussian Splatting scene |
infinisplat_lidar.ckpt | RGB image + aligned depth | 3D Gaussian Splatting scene |
The released checkpoints contain the complete inference weights required by their respective encoders.
Usage
Clone the InfiniSplat repository, follow the installation guide, and download the checkpoints:
bash scripts/download_checkpoints.sh
RGB-only inference:
python -m src.demo.infer_batch_images --input examples/data/rgb_demo/pexels-masi.jpg
Depth-sensor-guided inference:
python -m src.demo.infer_batch_images \
--mode lidar \
--input examples/data/lidar_demo/eth3d_kicker.png
The input path may also be a directory for batch inference. In LiDAR mode, RGB and depth files are paired by filename stem. See the full inference guide for supported depth formats, camera intrinsics, outputs, and optional arguments.
Outputs
Inference always exports a Gaussian PLY. Novel-view MP4 rendering is available when gsplat is installed, and interactive HTML export is available when the PlayCanvas splat-transform CLI is installed.
Acknowledgments
InfiniSplat builds on DINOv3, Depth Pro, InfiniDepth, and gsplat. We thank their authors for their excellent work.