paomian001's Stars
Xinjie-Q/Awesome-Neural-Compression
Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the recent years.
ZZ022/ArIB-BPS
PyTorch Implementation of the CVPR'24 Paper "Learned Lossless Image Compression based on Bit Plane Slicing"
lixinustc/Awesome-diffusion-model-for-image-processing
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
buggyyang/CDC_compression
codebase for Lossy Image Compression with Conditional Diffusion Models
huai-chang/DiffEIC
[TCSVT 2024] Toward Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
Jaron-U/conditional_diffusion_compression
Compress image using diffusion model.
JianghaiSCU/Diffusion-Low-Light
Official pytorch implementation for "Low-light Image Enhancement with Wavelet-based Diffusion Models"
Joanna-0421/COSMIC
[NeurIPS 2024] COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
Justin-Tan/generative-compression
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
WHUyyx/MAGC
Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates
lcysyzxdxc/MISC
[IEEE TIP 2024] Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
ryanlu2240/DADiff
JianzeLi-114/FluxSR
KangLiao929/Noise-DA
[ICLR 2025] Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
cvlab-kaist/Perturbed-Attention-Guidance
Official implementation of "Perturbed-Attention Guidance"
cswry/OSEDiff
[NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution