daclip-uir

Image restorer

This project controls vision-language models to restore degraded images in various environments and conditions.

[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

GitHub

662 stars
9 watching
33 forks
Language: Python
last commit: 4 months ago
deep-learningdiffusion-modelsface-inpaintingimage-deblurringimage-dehazingimage-denoisingimage-derainingimage-desnowingimage-restorationjpeg-artifacts-removallow-level-visionlow-light-image-enhancementpromptpytorchshadow-removalvision-language

Related projects:

Repository Description Stars
algolzw/image-restoration-sde Image restoration software using stochastic differential equations 576
swz30/mprnet A deep learning model designed to progressively restore degraded images by iteratively refining the degradation and its representation in the image 1,184
cszn/ircnn This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. 600
xlearning-scu/2022-cvpr-airnet Restores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework 176
zhendongwang6/uformer An implementation of a deep learning model for restoring images in various conditions 806
swz30/restormer Proposes an efficient neural architecture model for high-resolution image restoration tasks 1,805
wdzhao123/apl Develops a deep learning-based method to detect and remove defocus blur from images 16
invokerer/deeprft Develops deep learning-based methods for removing blur and defocus from images 244
megvii-research/nafnet An image restoration model without nonlinear activation functions. 2,247
deepmed-lab-ecnu/deeprft-aaai2023 A deep learning-based image deblurring system that explores the impact of frequency selection on restoration quality 18
codeslake/ifan Implementation of an algorithm for single image deblurring in images with defocus blur 227
cszn/dpsr A deep learning-based method to improve image quality by reducing blur effects 836
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,217
byungkwanlee/moai Improves performance of vision language tasks by integrating computer vision capabilities into large language models 311
csjcai/dbcpenet Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. 20