mv-lab / nilut

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

Date Created 2023-06-20 (about a year ago)

Commits 13 (last one 9 months ago)

Stargazers 69 (0 this week)

Watchers 2 (0 this week)

Forks 2

License mit

Ranking

RepositoryStats indexes 585,880 repositories, of these mv-lab/nilut is ranked #373,752 (36th percentile) for total stargazers, and #479,482 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,390/17,153.

mv-lab/nilut is also tagged with popular topics, for these it's ranked: deep-learning (#6,018/8407), pytorch (#4,230/5958), neural-network (#824/1094), image-processing (#786/1093), nerf (#201/280), art (#194/267), photography (#86/107)

Other Information

There have been 1 release, the latest one was published on 2023-07-07 (about a year ago) with the name Starter-kit.

Homepage URL: https://arxiv.org/abs/2306.11920

All Topics

art inr isp lut aaai nerf 3dlut pytorch lightroom photography tone-mapping deep-learning neural-network photorealistic image-processing neural-rendering image-enhancement color-manipulation neural-representations

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Recent Commit History

13 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-12 @ 03:28am, id: 656225550 / R_kgDOJx01Dg