havefunq

PyTorch_TensorHolo

A Pytorch reimplementation of Tensor Holography

Mamba-UNet

Mamba-UNet Zoo

DGE-CNN_demo

DGE-CNN demo for 2D-to-3D holographic display based on depth gradient extracting module and CNN network

U-KAN

[ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

KANU_Net

U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)

Speechless

2021-2 Speech Enhancement Project

KAIR

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

DCUnet.pytorch

Phase-Aware Speech Enhancement with Deep Complex U-Net

InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

DSCNet

Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

WassersteinGAN

CCNN-CGH

code for Real-Time High-Quality Computer-Generated Hologram Using Complex-Valued Convolutional Neural Network

ResidualDenseNetwork-Pytorch

Pytorch implement: Residual Dense Network for Image Super-Resolution

RDN-pytorch

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

Fourier-inspired-neural-module

[Optics Letters] Fourier-inspired neural module for real-time and high-fidelity computer-generated holography

Dense-U-net

Dense-U-net: Dense encoder-decoder network for holographic imaging of 3D particle field

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

FC-DenseNet

Fully Convolutional DenseNets for semantic segmentation.

DenseUNet-pytorch

A Pytorch implementation of U-Net using a DenseNet-121 backbone

A-ESRGAN

[PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.

ESRGAN-PyTorch

A simple implementation of esrgan, which uses the pytorch framework.

ESRGAN-pytorch

re-implementation super resolution pytorch using ESRGAN

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

pytorch_prototyping

Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)

srez

Image super-resolution through deep learning

SRGAN

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

GAN-Thesis-Retrieval

GAN的论文复现

SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch