Browse State-of-the-Art › Low-Light Image Enhancement

Low-Light Image Enhancement

181 papers with code · 22 benchmarks · 23 datasets archive 2025-07-28

Computer Vision

Low-Light Image Enhancement is a computer vision task that involves improving the quality of images captured under low-light conditions. The goal of low-light image enhancement is to make images brighter, clearer, and more visually appealing, without introducing too much noise or distortion.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

22 leaderboard tables shown for this task, 22 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 22 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
LOL (40 rows) CFWD Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion code — Compare
LOLv2 (12 rows) CFWD Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion code — Compare
LOLv2-synthetic (9 rows) DPEC_ DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light... code — Compare
MEF (7 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
VV (7 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
DICM (6 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
LIME (6 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
NPE (6 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
LOL-v2 (3 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
Sony-Total-Dark (3 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
LOL-v2-synthetic (2 rows) CIDNet You Only Need One Color Space: An Efficient Network for Low-light... code — Compare
SID (2 rows) Retinexformer Retinexformer: One-stage Retinex-based Transformer for Low-light... code Syntology ran 2 of 10 samples · 8 unverified Compare
10 Monkey Species (1 row) Cat LIME: Low-light Image Enhancement via Illumination Map Estimation code — Compare
3DMatch Benchmark (1 row) nnh Attention Guided Low-light Image Enhancement with a Large Scale... code — Compare
AFLW (Zhang CVPR 2018 crops) (1 row) enligh EnlightenGAN: Deep Light Enhancement without Paired Supervision code — Compare
Canon RAW Low Light (1 row) FSDA-LL Few-Shot Domain Adaptation for Low Light RAW Image Enhancement code Syntology ran 0 of 9 samples · 9 unverified Compare
LSRW (1 row) DPEC DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light... code — Compare
MIT-Adobe FiveK (1 row) Retinexformer Retinexformer: One-stage Retinex-based Transformer for Low-light... code Syntology ran 2 of 10 samples · 8 unverified Compare
Nikon RAW Low Light (1 row) FSDAL-LL Few-Shot Domain Adaptation for Low Light RAW Image Enhancement code Syntology ran 0 of 9 samples · 9 unverified Compare
SDSD-indoor (1 row) Retinexformer Retinexformer: One-stage Retinex-based Transformer for Low-light... code Syntology ran 2 of 10 samples · 8 unverified Compare
SDSD-outdoor (1 row) Retinexformer Retinexformer: One-stage Retinex-based Transformer for Low-light... code Syntology ran 2 of 10 samples · 8 unverified Compare
SMID (1 row) Retinexformer Retinexformer: One-stage Retinex-based Transformer for Low-light... code Syntology ran 2 of 10 samples · 8 unverified Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

23 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 181 papers with code (316 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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