mv-lab/InstructIR
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
InstructIR helps photographers, graphic designers, and content creators improve their images by following natural language instructions. You input a degraded image and a text prompt describing the desired restoration (e.g., "remove the noise," "make it brighter"), and it outputs a high-quality, enhanced version of your image. This tool allows non-technical users to achieve professional-level image restoration.
710 stars. No commits in the last 6 months.
Use this if you have images suffering from common issues like blur, rain, haze, noise, or poor lighting and want to fix them with simple text commands.
Not ideal if you need to perform highly specific, artistic manipulations beyond standard restoration tasks or require pixel-level manual editing control.
Stars
710
Forks
44
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 26, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/mv-lab/InstructIR"
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"...