Chenfeng1271 / Adaptive-deformable-convolutionLinks
Pytorch-based adaptive deformable convolution
☆16Updated 4 years ago
Alternatives and similar repositories for Adaptive-deformable-convolution
Users that are interested in Adaptive-deformable-convolution are comparing it to the libraries listed below
Sorting:
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆25Updated 2 years ago
- This repository contains the entire pipline (including data preprocessing, training, testing, evaluation and visualization) for the Shear…☆10Updated 5 years ago
- Official implementation of "Deep learning architectural designs for super-resolution of noisy images" by Villar et al. ICASSP 2021☆12Updated last year
- ☆12Updated last year
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆54Updated 3 years ago
- Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution, accepted (TCSVT)☆17Updated 2 years ago
- Accepted by TMM 2021☆42Updated 2 years ago
- Reference based Image Super-Resolution via Variational AutoEncoder☆29Updated 3 years ago
- Feature-map visualized, Implementation in Pytorch☆40Updated 3 years ago
- Unsharp Masking (USM) Layer, a new layer for deep learning that preprocesses the images with USM but optimizes the filter automatically☆12Updated 6 years ago
- A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution☆17Updated 3 years ago
- The source code and dataset of 'Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution' (MICCAI 2020).☆16Updated 3 years ago
- This repository provides the dataset used in our cvpr2022 paper - wavelet knowledge distillation☆20Updated 3 years ago
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆13Updated 2 years ago
- Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)☆38Updated 3 years ago
- Frequency Domain Perceptual Loss for Super Resolution☆26Updated 3 years ago
- HSViT: Horizontally Scalable Vision Transformer☆13Updated 7 months ago
- The implementation for "Salient Positions based Attention Network for Image Classification"☆19Updated 4 years ago
- The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow☆47Updated last year
- Adaptive Convolutions with Per-pixel Dynamic Filter Atom☆26Updated 3 years ago
- Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)☆24Updated 2 years ago
- AdaDM: Enabling Normalization for Image Super-Resolution☆60Updated 3 years ago
- Pytorch implementation (TPAMI 2023) - Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion☆19Updated 2 years ago
- Dual interactive implicit neural network for super resolving images to arbitrary resolutions.☆31Updated last month
- ☆20Updated 4 years ago
- ☆23Updated 2 years ago
- Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation☆20Updated 2 years ago
- This repository is a PyTorch version of the paper "Multi-scale Dense Cross Network for Image Super-Resolution" (TCSVT 2020).☆26Updated 4 years ago
- Official implementation of "DualSR: Zero-Shot Dual Learning for Real-World Super-Resolution"☆26Updated 3 years ago
- Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"☆31Updated 3 years ago