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pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

reconstruction-by-inpainting-for-visual-anomaly-detection

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

residualdensenetwork-cyclegan-superresolution

Using Residual Dense Network as one of Generator and define another RDN within a downsampler

retina-unet

Retina blood vessel segmentation with a convolutional neural network

segmentation-renormalized-harmonization

skip-ganomaly

Source code for Skip-GANomaly paper

swinir

SwinIR: Image Restoration Using Swin Transformer

swintextspotter

Pytorch re-implementation of Paper: SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition (CVPR 2022)

textfusenet

A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".

textzoom

A super-resolution dataset of paired LR-HR scene text images

tpgsr

Code for Text Prior Guided Scene Text Image Super-Resolution

transformer_ocr

unet

unet for image segmentation

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vit-search

Code for "Searching for Efficient Multi-Stage Vision Transformers"

xception-pytorch

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions

zssr

"Zero-Shot" Super-Resolution using Deep Internal Learning