---
tags:
- 3d
- gaussian-splatting
- novel-view-synthesis
- computer-vision
---

<div align="center">

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

[Project Page](https://pluswave.top/InfiniSplat-page/) | [Code](https://github.com/PLUS-WAVE/InfiniSplat-oss) | [Gallery](https://pluswave.top/InfiniSplat-page/#visualization)

<img src="assets/github_demo.gif" alt="InfiniSplat demo" width="90%" />

</div>

## 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`](checkpoints/infinisplat_rgb.ckpt) | RGB image | 3D Gaussian Splatting scene |
| [`infinisplat_lidar.ckpt`](checkpoints/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](https://github.com/PLUS-WAVE/InfiniSplat-oss), follow the [installation guide](https://github.com/PLUS-WAVE/InfiniSplat-oss/blob/main/INSTALL.md), and download the checkpoints:

```bash
bash scripts/download_checkpoints.sh
```

RGB-only inference:

```bash
python -m src.demo.infer_batch_images --input examples/data/rgb_demo/pexels-masi.jpg
```

Depth-sensor-guided inference:

```bash
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](https://github.com/PLUS-WAVE/InfiniSplat-oss/blob/main/docs/inference.md) 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](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). We thank their authors for their excellent work.