Nirvan101 / Image-Restoration-deep-learning
Restoring images of damaged paintings using in-painting. Damaged paintings have discolored patches where the paint has faded or fallen off. This project uses image in-painting to fill and restore these lost regions. The models include context-encoders, GANS, conditional GANS and pixel diffusion.
☆38Updated 6 years ago
Alternatives and similar repositories for Image-Restoration-deep-learning:
Users that are interested in Image-Restoration-deep-learning are comparing it to the libraries listed below
- Cleaning printed text using Denoising Autoencoder based on UNet architecture in PyTorch☆33Updated 5 years ago
- Learn how to train SRGAN on Custom dataset☆35Updated 2 years ago
- In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different comple…☆26Updated 3 years ago
- Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras☆35Updated 5 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆86Updated 2 years ago
- lots of single image super resolution model implementations in tensorflow☆9Updated 5 years ago
- SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework☆47Updated 3 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆348Updated 3 years ago
- awesome super resoluiton paper collections w/o code including paper citation☆23Updated 5 years ago
- This code is based on official code,but I add some different loss,like ssim loss ,to realize image enhancement based on some IEEE papers:…☆19Updated 5 years ago
- Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cy…☆82Updated 4 years ago
- PyTorch implementation for Image Denoising and Image Dehazing☆24Updated 4 years ago
- 使用Pytorch实现对偶生成对抗网络来实现图像去雾☆17Updated 2 years ago
- PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian …☆26Updated 2 years ago
- Perceptual Adversarial Networks (PAN) for Image-to-Image Transformation☆17Updated 5 years ago
- Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures☆125Updated last year
- Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras☆27Updated 3 years ago
- This repository will consist of python code for image and video dehazing of underwater and foggy images☆26Updated 4 years ago
- 💻 🐈 Added a self-attention layer to the CycleGAN implementation (PyTorch).☆11Updated 10 months ago
- Experiments on CNN-based image enhancement in pytorch☆46Updated 4 years ago
- Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization☆205Updated 7 months ago
- Removing noise from images using deep learning models.Used some state-of-the-art denoising model’s architecture from research papers like…☆21Updated 3 years ago
- Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch☆304Updated 4 years ago
- PyTorch implementation of CycleGAN☆79Updated 7 years ago
- A pytorch implementation of "ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks"☆8Updated 4 years ago
- Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detectio…☆77Updated 6 years ago
- SRCNN_SRGAN_ESRGAN_ON_BRAIN_MRI☆9Updated 3 years ago
- Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.☆96Updated 6 years ago
- A very simple implementation of cyclegan, which is based on pytorch.☆158Updated 7 months ago
- re-implementation super resolution pytorch using ESRGAN☆100Updated 4 years ago