Modular Neural Image Signal Processing
Modular Neural Image Signal Processing
Mahmoud Afifi, Zhongling Wang, Ran Zhang, and Michael S. Brown
Unlike most neural ISPs that treat the entire imaging pipeline as a single black-box network, we decompose the process into standard, interpretable, modular learning-based components. This design requires no manual tuning and enables easier debugging, seamless scaling, cross-camera generalization, and fine-grained customization. It also gives users complete control over every stage of the pipeline and supports unlimited post-editable re-rendering by storing compact raw data within the final image. In addition, it enables learning diverse picture styles with minimal memory overhead and integrates naturally with external image-processing functions.
Paper: https://arxiv.org/abs/2512.08564
Code & Executables: https://github.com/mahmoudnafifi/modu...
https://www.mafifi.info/
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