mv-lab/nilut
[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/
This project helps photographers, videographers, and graphic designers enhance images and videos by applying precise color and tone adjustments. It takes an input image and a desired 'look' (like a film preset or color grade) and produces a transformed image with the specified aesthetic. The core technology efficiently emulates and blends these complex visual styles.
100 stars. No commits in the last 6 months.
Use this if you need to apply sophisticated color grading, achieve specific photographic styles, or efficiently manage and blend multiple image enhancement presets without large lookup tables.
Not ideal if you're looking for basic, one-click image filters or simple adjustments like brightness/contrast without needing advanced color manipulation or style blending capabilities.
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100
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7
Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 29, 2024
Commits (30d)
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