rootpine / Bicubic-interpolationLinks
Bicubic interpolation for images (Python)
☆142Updated 6 years ago
Alternatives and similar repositories for Bicubic-interpolation
Users that are interested in Bicubic-interpolation are comparing it to the libraries listed below
Sorting:
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆361Updated 3 years ago
- Multi-level Wavelet-CNN for Image Restoration☆242Updated 5 years ago
- PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CV…☆67Updated 5 years ago
- Pytorch implementation for EDSR (CVPR2017)☆63Updated 7 years ago
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆279Updated 7 years ago
- re-implementation super resolution pytorch using ESRGAN☆102Updated 4 years ago
- PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS …☆99Updated 6 years ago
- PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)☆255Updated 3 years ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆132Updated 4 years ago
- Real-world Noisy Image Denoising: A New Benchmark☆253Updated 3 years ago
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)☆218Updated 4 years ago
- VDSR (CVPR2016) pytorch implementation☆443Updated 3 years ago
- Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019☆526Updated 3 years ago
- Attention-guided CNN for image denoising(Neural Networks,2020)☆122Updated 2 years ago
- An unofficial PyTorch implementation of a image denoising network, called FFDNet.☆50Updated 5 years ago
- This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).☆300Updated 5 years ago
- Using BM3D to denoise☆235Updated 2 years ago
- Toward Convolutional Blind Denoising of Real Photograph☆184Updated last year
- FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)☆516Updated 3 years ago
- ☆148Updated 4 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆220Updated 5 years ago
- PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)☆332Updated 5 years ago
- Pytorch implement: Residual Dense Network for Image Super-Resolution☆143Updated 7 years ago
- Image denoising using deep CNN with batch renormalization(Neural Networks,2020)☆185Updated 2 years ago
- Toward Convolutional Blind Denoising of Real Photograph☆50Updated last year
- Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)☆563Updated 2 years ago
- Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.☆144Updated 8 years ago
- PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"☆460Updated 6 years ago
- A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Gen…☆88Updated 6 years ago
- PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)☆40Updated 5 years ago