Add model card and demo

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README.md

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+---
+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.