SonyResearch/RAW-Diffusion
[WACV 2025] Official implementation of "RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation"
This project helps computer vision researchers and data scientists generate realistic, high-fidelity RAW image datasets for specific camera sensors. You provide a collection of standard RGB images and the tool outputs corresponding RAW images, tailored for your desired camera. This is particularly useful for training robust image recognition models, especially for challenging conditions like low light.
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Use this if you need to create diverse, camera-specific RAW image datasets for computer vision tasks, even with a limited number of existing RAW images.
Not ideal if you are looking for a general-purpose image generation tool for everyday use or do not specifically work with RAW image data.
Stars
60
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 17, 2025
Commits (30d)
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