MingtaoGuo / Calligraphic-Images-Denoising-by-GANLinks
Calligraphic Images Denoising by GAN
☆62Updated 6 years ago
Alternatives and similar repositories for Calligraphic-Images-Denoising-by-GAN
Users that are interested in Calligraphic-Images-Denoising-by-GAN are comparing it to the libraries listed below
Sorting:
- Multi-level Wavelet-CNN for Image Restoration☆245Updated 5 years ago
- A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A n…☆44Updated 6 years ago
- 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 disc…☆26Updated 5 years ago
- Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"☆113Updated 6 years ago
- ☆53Updated 5 years ago
- Image Denoising with Generative Adversarial Network☆389Updated 8 years ago
- Source code for: L. Xu et. al. "Structure Extraction from Texture via Relative Total Variation", TOG 2012☆24Updated 9 years ago
- Unpaired Learning of Deep Image Denoising☆145Updated 5 years ago
- FD-GAN: Generative adversarial Networks with Fusion-discriminator for Single Image Dehazing(AAAI'20)☆97Updated 4 years ago
- Real-world Noisy Image Denoising: A New Benchmark☆266Updated 4 years ago
- SRN-DeblurNet pytorch replicate , pretrained model provided☆83Updated 7 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆367Updated 4 years ago
- ☆149Updated 4 years ago
- Pytorch implementation of Color Loss in "DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks"☆33Updated 4 years ago
- Toward Convolutional Blind Denoising of Real Photograph☆186Updated 2 years ago
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)☆218Updated 4 years ago
- pytorch implementation of tv loss☆107Updated 8 years ago
- Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.☆144Updated 8 years ago
- [TIP-2020] Official Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"☆123Updated 5 months ago
- This is the code for multi-exposure image fusion via generative adversarial networks☆40Updated 4 years ago
- The website of Paper Deep Retinex Decomposition for Low-Light Enhancement in BMVC 2018☆15Updated 6 years ago
- Enhanced Pix2pix Dehazing Network, accepted by CVPR 2019☆127Updated 5 years ago
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)☆83Updated 5 years ago
- PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)☆338Updated 5 years ago
- Using BM3D to denoise☆241Updated 2 years ago
- [CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing☆167Updated 5 years ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆133Updated 4 years ago
- This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"☆102Updated 5 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆145Updated 6 years ago
- 【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network for Single Image Rain Removal☆184Updated 3 years ago