Yanrui Bin1,Wenbo Hu2*,
Haoyuan Wang3,
Xinya Chen4,
Bing Wang2 †
1Spatial Intelligence Group, The Hong Kong Polytechnic University
2ARC Lab, Tencent PCG
3City University of Hong Kong
4Huazhong University of Science and Technology
ICCV 2025
We recommend that everyone use English to communicate on issues, as this helps developers from around the world discuss, share experiences, and answer questions together.
For business licensing and other related inquiries, don't hesitate to contact binyanrui@gmail.com.
🤗 If you find NormalCrafter useful, please help ⭐ this repo, which is important to Open-Source projects. Thanks!
🔥 NormalCrafter can generate temporally consistent normal sequences with fine-grained details from open-world videos with arbitrary lengths.
[24-04-01]🔥🔥🔥 NormalCrafter is released now, have fun!
- Online demo: NormalCrafter
- Local demo:
gradio app.py
- Clone this repo:
git clone git@github.com:Binyr/NormalCrafter.git- Install dependencies (please refer to requirements.txt):
pip install -r requirements.txtNormalCrafter is available in the Hugging Face Model Hub.
python run.py --video-path examples/example_01.mp4python run.py --video-path examples/example_01.mp4 --max-res 512