MingtaoGuo / Residual-Dense-Network-Trained-with-cGAN-for-Super-Resolution
This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
☆25Updated 4 years ago
Alternatives and similar repositories for Residual-Dense-Network-Trained-with-cGAN-for-Super-Resolution:
Users that are interested in Residual-Dense-Network-Trained-with-cGAN-for-Super-Resolution are comparing it to the libraries listed below
- Tensorflow implementation of EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis☆32Updated 5 years ago
- Pytorch implementation of Texture based Super-resolution Networks☆33Updated 5 years ago
- Edge-Informed Single Image Super-Resolution, ICCVW 2019 https://arxiv.org/abs/1909.05305☆79Updated 4 years ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116Updated 4 years ago
- This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW …☆36Updated 4 years ago
- DWSR x4 Deep wavelet prediction for image super-resolution☆39Updated 6 years ago
- Fine-grained Attention and Feature-sharing Generative Adversarial Networksfor Single Image Super-Resolution☆28Updated 3 years ago
- GAN based super-resolution (presented at ECCV 2018)☆68Updated 3 years ago
- Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction (IEEE TCSVT 2019)☆29Updated 3 years ago
- Image Correction via Deep Reciprocating HDR Transformation☆62Updated 6 years ago
- PyTorch code of our ICIP'19 paper "Improving Super-Resolution Methods via Incremental Residual Learning"☆8Updated 5 years ago
- Progressive Perception-Oriented Network for Single Image Super-Resolution (Information Sciences 2021)☆119Updated 3 years ago
- Generative Multigrid Backprojection Super Resolution (G-MGBP) 2nd best perceptual quality in PIRM SR Challenge☆36Updated 5 years ago
- GAN-based image super-resolution using perceptual content losses (tensorflow implementation)☆19Updated 4 years ago
- Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision☆43Updated 6 years ago
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)☆80Updated 4 years ago
- test codes of GRDN for ntire challenge☆25Updated 5 years ago
- Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images☆93Updated 5 years ago
- Our solution to AIM2020 Real Image Super-Resolution Challenge (x2)☆21Updated 4 years ago
- pytorch reimplementation of basic architecture of MemNet☆28Updated 5 years ago
- Attention based Back Projection Network (ABPN) for image ultra-resolution in ICCV2019☆75Updated 2 years ago
- Pytorch implementation of Coherent Semantic Attention Image Inpainting☆27Updated 5 years ago
- pytorch code of "CFSNet: Toward a Controllable Feature Space for Image Restoration"(ICCV2019)☆62Updated 3 years ago
- TensorFlow implementation of "DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks"☆31Updated 6 years ago
- Multi-scale deep neural networks for real image super-resolution☆27Updated 4 years ago
- [TIP-2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"☆119Updated last year
- A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality☆45Updated 3 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆163Updated 4 years ago
- Simplely implement the paper 'FormResNet: Formatted Residual Learning for Image Restoration' by TensorFlow☆17Updated 5 years ago