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[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/

Home Page: https://arxiv.org/abs/2306.11920

License: MIT License

Python 0.19% Jupyter Notebook 99.81%
3dlut art color-manipulation deep-learning image-enhancement lut neural-network photorealistic inr lightroom

nilut's Introduction

Ph.D. Researcher in Artificial Intelligence and Computer Vision advised by Prof. Radu Timofte. His current research interests include neural networks, machine learning, low-level vision, inverse problems, and computational photography. He is co-organizer of the NTIRE Workshop and AI for Streaming Workshop at CVPR, and the AIM Workshop at ECCV. He is also Kaggle Grandmaster at H2O.ai and Research Scientist at Sony PlayStation.

Only one who devotes himself to a cause with his whole strength and soul can be a true master. For this reason mastery demands all of a person. Albert Einstein

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