SSD-GS

🎉 Official code release of "SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian Splatting" (ICLR 2026).

🔧 Installation

Clone the repository:

git clone https://github.com/irisfreesiri/SSD-GS.git
cd SSD-GS

Create a new conda environment:

conda create --name ssd-gs python=3.10 pytorch==2.4.1 torchvision==0.19.1 pytorch-cuda=12.4 cuda-toolkit=12.4 cuda-cudart=12.4 -c pytorch -c "nvidia/label/cuda-12.4.0"
conda activate ssd-gs
pip install ninja  # speedup torch cuda extensions compilation
pip install -r requirements.txt

📌 Release Roadmap

The repository is under active development.
Upcoming updates include:

• Code Release ✅
• Dataset Release
• Training & Rendering Instructions
• Pretrained Models
• Teaser / Demo Video

📚 Acknowledgments

We have intensively borrow codes from gaussian splatting, gs^3, and gsplat. We also use tiny-cuda-nn for it's efficient MLP implementation. Many thanks to the authors for sharing their codes.