This repository represents the official implementation of the paper titled "StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal".
We propose StableNormal, which tailors the diffusion priors for monocular normal estimation. Unlike prior diffusion-based works, we focus on enhancing estimation stability by reducing the inherent stochasticity of diffusion models ( i.e. , Stable Diffusion). This enables “Stable-and-Sharp” normal estimation, which outperforms multiple baselines (try Compare), and improves various real-world applications (try Demo).
Please run following commands to build package:
git clone https://github.com/Stable-X/StableNormal.git
cd StableNormal
pip install -r requirements.txt
or directly build package:
pip install git+https://github.com/Stable-X/StableNormal.git