fatheral / matlab_imresizeLinks
Python implementation of MatLab imresize function
☆160Updated 4 years ago
Alternatives and similar repositories for matlab_imresize
Users that are interested in matlab_imresize are comparing it to the libraries listed below
Sorting:
- Workshop and Challenge on Perceptual Image Restoration and Manipulation☆249Updated 5 years ago
- ☆351Updated 3 years ago
- Learning a No-Reference Quality Metric for Single-Image Super-Rolution☆132Updated 3 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆342Updated 5 years ago
- A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.☆141Updated 4 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆223Updated 5 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
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)☆218Updated 4 years ago
- computational zoom from raw sensor data☆331Updated 5 months ago
- ☆98Updated 3 years ago
- ☆200Updated 5 years ago
- Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)☆168Updated 6 years ago
- Official repository of Deep SR-ITM (oral at ICCV 2019)☆105Updated 3 years ago
- Noise Flow: Noise Modeling with Conditional Normalizing Flows☆154Updated 4 years ago
- Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.☆144Updated 8 years ago
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆185Updated 6 years ago
- Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data☆81Updated 6 years ago
- "Zero-Shot" Super-Resolution using Deep Internal Learning☆415Updated 5 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆144Updated 6 years ago
- Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images☆93Updated 6 years ago
- ms_ssim loss function implemented in pytorch☆75Updated 7 years ago
- Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations☆144Updated 4 years ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116Updated 5 years ago
- [ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline☆298Updated 2 years ago
- Pytorch implementation for EDSR (CVPR2017)☆63Updated 7 years ago
- ☆121Updated 7 years ago
- Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)☆379Updated 3 years ago
- Downscale a set of images by randomly created kernels and save them☆77Updated 4 years ago
- A PyTorch implementation of SRNTT, which is a novel RefSR method.☆111Updated 2 years ago
- ☆100Updated 4 years ago