AISP
AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!
Process and enhance RAW images with techniques for restoration, super-resolution, and other improvements.
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Free · no card · unsubscribe anytimeAI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!
AISP has 586 stars on GitHub. It has been forked 61 times. AISP is written mainly in Jupyter Notebook. It has been in active development since 2022. Its main topics are camera, computational-photography, computer-vision, cvpr.
What is AISP?
AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!
Is AISP open source?
AISP is an open-source project.
Is AISP free?
Yes. AISP is free and open source — you can use, modify and self-host it.
What language is AISP written in?
AISP is written mainly in Jupyter Notebook.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.