zoli333 / Weight-NormalizationLinks
Complete implementation of Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks article
☆26Updated 2 years ago
Alternatives and similar repositories for Weight-Normalization
Users that are interested in Weight-Normalization are comparing it to the libraries listed below
Sorting:
- SRDenseNet-pytorch(ICCV_2017)☆120Updated 7 years ago
- Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017☆196Updated 7 years ago
- Code for reproducing experiments in "Improved Training of Wasserstein GANs"☆20Updated 8 years ago
- Learning a Spatial Activation Function for Efficient Image Restoration☆88Updated 4 years ago
- Convert models from MatConvNet to PyTorch☆95Updated 7 years ago
- Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)☆185Updated 7 years ago
- PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"☆158Updated 6 years ago
- ☆151Updated 5 years ago
- ☆94Updated 7 years ago
- Neural Nearest Neighbors Networks (NIPS*2018)☆289Updated 2 years ago
- Pytorch implementation for SRDenseNet (ICCV2017)☆68Updated 7 years ago
- 'Image Inpainting for Irregular Holes Using Partial Convolutions' first tensorflow primary instance, fully implemented using tensorflow, …☆24Updated 7 years ago
- PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)☆134Updated 6 years ago
- A memory efficient implementation of densenet.☆82Updated 6 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆114Updated 7 years ago
- Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow☆54Updated 6 years ago
- Predictive Filter Flow for fully/self-supervised learning on various vision tasks☆140Updated 5 years ago
- A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".☆143Updated 6 years ago
- A survey of recent application of deep learning on super-resolution tasks☆32Updated 7 years ago
- Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)☆120Updated 6 years ago
- Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning☆42Updated 7 years ago
- Collection of Super-Resolution models via PyTorch☆91Updated 8 years ago
- tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those probl…☆23Updated 6 years ago
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆186Updated 6 years ago
- Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)☆101Updated 6 years ago
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 7 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆342Updated 6 years ago
- Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.☆144Updated 8 years ago
- Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"☆232Updated 7 years ago
- Tensorflow implementation of IDN (CVPR 2018)☆28Updated 7 years ago