idearibosome / tf-bsrn-sr
Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow
☆29Updated 6 years ago
Alternatives and similar repositories for tf-bsrn-sr:
Users that are interested in tf-bsrn-sr are comparing it to the libraries listed below
- Multi-scale deep neural networks for real image super-resolution☆27Updated 4 years ago
- A survey of recent application of deep learning on super-resolution tasks☆32Updated 6 years ago
- ☆53Updated 4 years ago
- A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality☆45Updated 3 years ago
- pytorch code of "CFSNet: Toward a Controllable Feature Space for Image Restoration"(ICCV2019)☆62Updated 3 years ago
- HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution☆58Updated 4 years ago
- Tensorflow implementation of Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones (ECCV 2018 Workshop PIRM)☆57Updated 6 years ago
- Video Super Resolution Framework with Pytorch☆29Updated 5 years ago
- Official PyTorch implementation of "Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning" in ACCV2…☆36Updated 4 years ago
- Tensorflow implementation of VESPCN☆42Updated 6 years ago
- This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW …☆36Updated 4 years ago
- My solution for NTIRE2019 real super-resolution☆47Updated 5 years ago
- FC-AIDE: Fully Convolutional Pixel Adaptive Image Denoiser☆29Updated 6 years ago
- NTIRE 2020 Image Deblurring Challenge: Track 2 on Smartphone☆48Updated 4 years ago
- Pytorch implementation of Texture based Super-resolution Networks☆33Updated 5 years ago
- Fast Image Restoration with Multi-bin Trainable Linear Units.☆11Updated 5 years ago
- The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"☆40Updated 4 years ago
- Dual Back-Projection-Based Internal Learning for Blind Super-Resolution☆22Updated 4 years ago
- A code for converting and testing Tensorflow models for AI Challenge☆29Updated 4 years ago
- ☆29Updated 4 years ago
- Learning Cascaded Convolutional Networks for Blind Single Image Super-Resolution☆21Updated 4 years ago
- Deep Back-Projection Networks for Super-Resolution☆39Updated 6 years ago
- Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks☆29Updated 6 years ago
- Scale-wise Convolution for Image Restoration☆30Updated 5 years ago
- PyTorch code of our ICIP'19 paper "Improving Super-Resolution Methods via Incremental Residual Learning"☆9Updated 5 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Updated 4 years ago
- Multi-Memory Convolutional Neural Network for Video Super-Resolution☆37Updated 3 years ago
- Iterative Residual CNNs for Burst Photography Applications☆21Updated 5 years ago
- Wide-activated 3D Convolutional Network for Video Restoration☆13Updated 5 years ago
- Generative Multigrid Backprojection Super Resolution (G-MGBP) 2nd best perceptual quality in PIRM SR Challenge☆36Updated 6 years ago