[ECCV 2022 Oral🔥] KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
☆24Dec 14, 2025Updated 10 months ago
Alternatives and similar repositories for KXNet
Users that are interested in KXNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.☆25Feb 15, 2023Updated 3 years ago
- A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.☆15Nov 20, 2022Updated 3 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆95Oct 24, 2022Updated 4 years ago
- Joint Learning Content and Degradation Aware Embedding for Blind Super-Resolution☆14Oct 20, 2022Updated 4 years ago
- This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023☆28Jun 9, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆152Jul 20, 2022Updated 4 years ago
- Implementation of 'Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration.' (IEEE TPAMI 2024)☆19Mar 13, 2025Updated last year
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)☆45Jul 20, 2022Updated 4 years ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆246May 13, 2023Updated 3 years ago
- MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces (ICCV 2023)☆60Dec 18, 2023Updated 2 years ago
- [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution☆21Apr 28, 2024Updated 2 years ago
- Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop☆16Dec 11, 2024Updated last year
- codes for DeFiAN (TIP2021)☆24May 17, 2022Updated 4 years ago
- [CVPR2024] Dataset and Code of "CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement".☆15Dec 14, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- code for TransMRSR☆11Jun 11, 2023Updated 3 years ago
- codes for CoMoNet (TCSVT2023)☆17Jul 12, 2024Updated 2 years ago
- A pytorch implementation of Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution.☆11Dec 26, 2022Updated 3 years ago
- The code for AIM2022 compressed image super-resolution☆11Nov 30, 2022Updated 3 years ago
- Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art sup…☆18Jul 4, 2023Updated 3 years ago
- Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks☆36Mar 25, 2024Updated 2 years ago
- Medical image super-resolution with feedback adaptive weighting dense network☆11Mar 25, 2021Updated 5 years ago
- Blind Super-Resolution using an Ensemble of Kernel-Specific Networks☆10Aug 17, 2021Updated 5 years ago
- This repository is an official PyTorch implementation of the paper "Lightweight Bimodal Network for Single-Image Super-Resolution via Sym…☆34Jun 30, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Nov 3, 2024Updated last year
- Official code for Sebica☆14Feb 6, 2025Updated last year
- This repository is an official PyTorch implementation of the paper "Feedback Network for Mutually Boosted Stereo Image Super-Resolution a…☆14Mar 12, 2022Updated 4 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆77Nov 14, 2022Updated 3 years ago
- PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)☆244Oct 18, 2023Updated 3 years ago
- From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)☆123Oct 14, 2022Updated 4 years ago
- Official Code for 'C3-STISR: Scene Text Image Super-resolution with Triple Clues' - IJCAI 2022☆65Nov 20, 2022Updated 3 years ago
- ☆13Jul 25, 2024Updated 2 years ago
- ☆11Dec 24, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement (ICCV2021)☆51Dec 13, 2024Updated last year
- This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022☆87Sep 3, 2023Updated 3 years ago
- code for <Compressing Image Super-resolution Network via Model Compression and Knowledge Distillation>☆14Feb 22, 2024Updated 2 years ago
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆16Mar 22, 2023Updated 3 years ago
- This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".☆53Jul 29, 2023Updated 3 years ago
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆56Sep 11, 2026Updated last month
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆177Mar 25, 2022Updated 4 years ago