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README.md

@@ -1,9 +1,27 @@
 ---
 license: cc-by-4.0
+task_categories:
+- image-to-3d
+tags:
+- 3d-gaussian-splatting
+- novel-view-synthesis
+- deblurring
+- sparse-views
+- 3d-reconstruction
 ---
 
 # CoherentGS-DL3DV-Blur Dataset
 
+CoherentGS tackles one of the hardest regimes for 3D Gaussian Splatting (3DGS): Sparse inputs with severe motion blur. We break the "vicious cycle" between missing viewpoints and degraded photometry by coupling a physics-aware deblurring prior with diffusion-driven geometry completion, enabling coherent, high-frequency reconstructions from as few as 3–9 views on both synthetic and real scenes.
+
+**Paper:** [Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views](https://huggingface.co/papers/2512.10369)
+**Project Page:** https://potatobigroom.github.io/CoherentGS/
+**Code:** https://github.com/PotatoBigRoom/CoherentGS
+
+<p align="center">
+  <img src="https://github.com/PotatoBigRoom/CoherentGS/blob/main/docs/static/images/pipeline.jpg" alt="CoherentGS overview" width="90%">
+</p>
+
 ## Motivation 💡
 
 To rigorously assess the generalization capability of **CoherentGS** in complex, unconstrained outdoor environments, we establish a new benchmark named **DL3DV-Blur**. This benchmark is derived from five diverse scenes within the DL3DV-10K dataset.
@@ -48,3 +66,40 @@ dl3dv/
 │   ├── 0004/
 │   └── 0005/
 └── ...
+```
+
+## Sample Usage
+### Installation
+Tested with Python 3.10 and PyTorch 2.1.2 (CUDA 11.8). Adjust CUDA wheels as needed for your platform.
+
+```bash
+# (Optional) fresh conda env
+conda create --name CoherentGS -y "python<3.11"
+conda activate CoherentGS
+
+# Install dependencies
+pip install --upgrade pip setuptools
+pip install "torch==2.1.2+cu118" "torchvision==0.16.2+cu118" --extra-index-url https://download.pytorch.org/whl/cu118
+pip install -r requirements.txt
+```
+
+### Data
+Download DL3DV-Blur and related assets from this Hugging Face dataset.
+Place downloaded data under `datasets/` (or adjust paths in the provided scripts).
+
+### Training
+Train on DL3DV-Blur (full resolution) with:
+```bash
+bash run_dl3dv.sh
+```
+For custom settings, start from `run.sh` and tweak dataset paths, resolution, and batch sizes.
+
+## Citation
+If CoherentGS supports your research, please cite:
+```bibtex
+@article{feng2025coherentgs,
+  author    = {Feng, Chaoran and Xu, Zhankuo and Li, Yingtao and Zhao, Jianbin and Yang, Jiashu and Yu, Wangbo and Yuan, Li and Tian, Yonghong},
+  title     = {Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views},
+  year      = {2025},
+}
+```