cuishuang99

HandyView

Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)

FlowIE

This repository contains the official implementation of "FlowIE: Efficient Image Enhancement via Rectified Flow"

Inf-DiT

Official implementation of Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

recurrent-defocus-deblurring-synth-dual-pixel

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.

Dual-Pixel-Exploration-Simultaneous-Depth-Estimation-and-Image-Restoration

CVPR 2021

IFAN

[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"

open_clip

An open source implementation of CLIP.

Unsupervised-Domain-Specific-Deblurring

Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"

SelfDeblur

Self-supervised linear motion deblurring

GRL-Image-Restoration

DATTT

[CVPR 2024] Depth-aware Test-Time Training for Zero-shot Video Object Segmentation

SelfDeblur

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

2024-ICLR-READ

Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".

DepthCLIP

Official implementation of "Can Language Understand Depth?"

DID-ANet-Defocus-Deblurring

Code for our paper DED-Net: the Dual-task Network for Defocus Estimation and Deblurring (Under Construction Now)

APL

ECCV2022: United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning

TTA-IQA

Code for Test Time Adaptation in the context of Blind Image Quality Assessment.

CLIP-IQA

[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

AdaIR

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

enhancing-transformers

An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch

UFPDeblur

DMENet

[CVPR 2019] Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation"

CoSeR

[CVPR 2024] CoSeR: Bridging Image and Language for Cognitive Super-Resolution

CLIP-LIT

[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

daclip-uir

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

PromptSR

PyTorch code for our paper "Image Super-Resolution with Text Prompt Diffusion"

defocus-deblurring-dual-pixel

Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

RoTTA

[CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899

EcoTTA

This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

TPT

Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))