Alternatives and similar repositories for torch-wavelet-lifting

Users that are interested in torch-wavelet-lifting are comparing it to the libraries listed below

• pkumivision / FFC
  This is an official pytorch implementation of Fast Fourier Convolution.
  ☆384Updated last year
• hejiaxiang1 / Wavelet-Diffusion
  ☆14Updated 6 months ago
• lpj-github-io / MWCNNv2
  Multi-level Wavelet Convolutional Neural Networks
  ☆299Updated 4 years ago
• 2y7c3 / Super-Resolution-Neural-Operator
  Super-Resolution Neural Operator, in CVPR 2023
  ☆189Updated 2 years ago
• mxbastidasr / DAWN_WACV2020
  It contains the code for the paper Deep Adaptive Wavelet Network
  ☆73Updated 3 years ago
• fengyurenpingsheng / WeConvene
  WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model
  ☆39Updated 4 months ago
• wyq2021 / S2LIC
  ☆14Updated 2 weeks ago
• FanChiMao / SUNet
  SUNet: Swin Transformer with UNet for Image Denoising
  ☆253Updated 2 years ago
• MIVRC / EWT-PyTorch
  This repository is a PyTorch version of the paper "EWT: Efficient Wavelet-Transformer for Single Image Denoising"
  ☆34Updated last year
• buggyyang / CDC_compression
  codebase for Lossy Image Compression with Conditional Diffusion Models
  ☆132Updated last week
• LeiaLi / SRDiff
  ☆220Updated 2 years ago
• FireFYF / SlimCAE
  Slimmable Compressive Autoencoders for Practical Neural Image Compression
  ☆54Updated 4 years ago
• icandle / MAN
  Multi-scale Attention Network for Single Image Super-Resolution (CVPRW 2024)
  ☆174Updated last year
• v0lta / PyTorch-Wavelet-Toolbox
  Differentiable fast wavelet transforms in PyTorch with GPU support.
  ☆404Updated last week
• myideaisgood / LC-FDNet
  ☆30Updated 3 years ago
• dongjxjx / dwdn
  Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
  ☆66Updated 4 years ago
• thekoshkina / learned_image_compression
  Joint autoregressive and hierarchical priors for learned image compression
  ☆44Updated 5 years ago
• ICSResearch / TransCS
  TransCS: A Transformer-Based Hybrid Architecture for Image Compressed Sensing
  ☆50Updated last month
• AVC2-UESTC / CRAFT-SR
  [ICCV2023] Implementation of "Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Imag…
  ☆110Updated last year
• JiangWeibeta / MLIC
  [ACMMM 2023 / NCW ICML 2023] Multi-Reference Entropy Models for Learned Image Compression
  ☆157Updated 8 months ago
• kechunl / AdaCode
  AdaCode is licensed under CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0/
  ☆44Updated last year
• WenTXuL / LINR
  ☆31Updated 2 years ago
• oppo-us-research / FA-VAE
  Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction
  ☆44Updated 2 years ago
• sherbret / DCT2net
  Official implementation of the paper "DCT2net: an interpretable shallow CNN for image denoising"
  ☆19Updated last year
• Easquel / WaveDM
  Implementation code for WaveDM: Wavelet-Based Diffusion Models for Image Restoration.
  ☆70Updated 9 months ago
• jianzhangcs / MADUN
  Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)
  ☆14Updated 3 years ago
• jinsuyoo / act
  [WACV'23] Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution
  ☆94Updated 3 years ago
• ppingzhang / Deep-Learning-Based-Image-Compression
  The paper list about deep learning based image compression
  ☆192Updated 3 months ago
• bbbolt / MDRN
  Multi-level Dispersion Residual Network for Efficient Image Super-Resolution
  ☆30Updated 2 years ago
• LiQiufu / WaveCNet
  the code for WaveCNet
  ☆134Updated 2 years ago