trevor-m / tensorflow-bicubic-downsampleLinks
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
☆23Updated 6 years ago
Alternatives and similar repositories for tensorflow-bicubic-downsample
Users that are interested in tensorflow-bicubic-downsample are comparing it to the libraries listed below
Sorting:
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆186Updated 6 years ago
- Downscale a set of images by randomly created kernels and save them☆78Updated 4 years ago
- Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images☆94Updated 6 years ago
- ☆76Updated 4 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆342Updated 6 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆146Updated 6 years ago
- Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".☆74Updated 6 years ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116Updated 5 years ago
- PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019☆63Updated 6 years ago
- Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction (IEEE TCSVT 2019)☆29Updated 4 years ago
- Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations☆144Updated 4 years ago
- Official repository of Deep SR-ITM (oral at ICCV 2019)☆106Updated 3 years ago
- Learning a No-Reference Quality Metric for Single-Image Super-Rolution☆132Updated 4 years ago
- ms_ssim loss function implemented in pytorch☆75Updated 7 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆165Updated 5 years ago
- Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"☆113Updated 6 years ago
- A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"☆102Updated 7 years ago
- Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)☆167Updated 6 years ago
- Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration☆153Updated 5 years ago
- ☆52Updated 5 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆226Updated 6 years ago
- Unpaired Learning of Deep Image Denoising☆145Updated 5 years ago
- ☆98Updated 3 years ago
- Python implementation of MatLab imresize function☆160Updated 4 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆149Updated 4 years ago
- (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks☆151Updated 4 years ago
- ☆93Updated 2 years ago
- Workshop and Challenge on Perceptual Image Restoration and Manipulation☆249Updated 5 years ago
- Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)☆24Updated 6 years ago
- paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network☆44Updated 7 years ago