(CVPR2025) Learned Image Compression with Dictionary-based Entropy Model

[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Context-Based Trit-Plane Coding for Progressive Image Compression, CVPR2023

[NeurIPS 2024] COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation

UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

TensorFlow implementation of EGIC (EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation, ECCV 2024)

Repository for the ECCV 2024 paper - BaSIC: BayesNet structure learning for computational Scalable neural Image Compression

Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates

Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.

[ACMMM 2023 / NCW ICML 2023] Multi-Reference Entropy Models for Learned Image Compression

Collection of reproducible deep learning for compressive sensing

PyTorch implementations of Generative Adversarial Networks.

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

simulation in Matlab

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Multi-level Wavelet Convolutional Neural Networks

国内外优秀的计算机视觉团队汇总，极市团队整理

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

Full Reference Image Quality Assessment

Fast Total-Variation Based Image Restoration Based on Derivative Alternated Direction Optimization Methods

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

A Collection of Variational Autoencoders (VAE) in PyTorch.

Reference models and tools for Cloud TPUs.