lingyzhu0101/UDU
[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement
This project helps video editors, content creators, and surveillance professionals improve the quality of videos recorded in low-light conditions. It takes dark, noisy video footage and enhances its brightness, reduces noise, and ensures smooth transitions between frames. The result is clearer, more consistent video that's easier to view and analyze.
No commits in the last 6 months.
Use this if you need to transform poorly lit video recordings into visibly clear and temporally stable footage, especially when you don't have a perfectly lit 'before' and 'after' example to train with.
Not ideal if you are working with still images rather than videos, or if your primary need is complex object recognition rather than general video enhancement.
Stars
13
Forks
3
Language
Python
License
—
Category
Last pushed
May 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/lingyzhu0101/UDU"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
VITA-Group/DeblurGANv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn,...
KupynOrest/DeblurGAN
Image Deblurring using Generative Adversarial Networks
ZhendongWang6/Uformer
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for...
shuochsu/DeepVideoDeblurring
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017,...
advimman/HiDT
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels"...