Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
☆195Sep 29, 2021Updated 4 years ago
Alternatives and similar repositories for HCFlow
Users that are interested in HCFlow 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 PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆149Sep 19, 2021Updated 4 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆176Sep 19, 2021Updated 4 years ago
- Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch☆852Dec 8, 2022Updated 3 years ago
- Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!☆1,374Apr 12, 2024Updated 2 years ago
- ☆40Nov 8, 2021Updated 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.
- [ECCV 2020, IJCV 2022] Invertible Image Rescaling☆651Apr 6, 2023Updated 3 years ago
- PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR202…☆136Apr 30, 2024Updated 2 years ago
- Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows☆96Aug 23, 2022Updated 3 years ago
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆317Jun 29, 2022Updated 3 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Oct 18, 2021Updated 4 years ago
- Code of "Super-resolving Compressed Images via Parallel and Series Integration of Artifact Reduction and Resolution Enhancement"☆10Nov 21, 2022Updated 3 years ago
- PyTorch implementation of VSR-Transformer☆264Aug 14, 2021Updated 4 years ago
- ☆105Nov 22, 2021Updated 4 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆375Mar 23, 2025Updated last year
- 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.
- SwinIR: Image Restoration Using Swin Transformer (official repository)☆5,514May 14, 2024Updated 2 years ago
- Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.☆25Feb 15, 2023Updated 3 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 3 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆165May 30, 2020Updated 6 years ago
- Codes for "Metric Learning based Interactive Modulation for Real-World Super-Resolution"☆179Jan 16, 2024Updated 2 years ago
- [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution☆76Feb 28, 2023Updated 3 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆341Jan 22, 2020Updated 6 years ago
- Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"☆522Apr 19, 2024Updated 2 years ago
- Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)☆808Dec 15, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆16Jun 9, 2025Updated last year
- ☆66Apr 20, 2021Updated 5 years ago
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆13May 6, 2023Updated 3 years ago
- Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolut…☆26Aug 14, 2021Updated 4 years ago
- Official repository of KOALAnet (CVPR, 2021)☆38Jun 29, 2022Updated 3 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆96Oct 24, 2022Updated 3 years ago
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆24May 11, 2023Updated 3 years ago
- Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR☆3,491Oct 2, 2024Updated last year
- Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)☆913Sep 3, 2025Updated 9 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks☆150Jan 4, 2022Updated 4 years ago
- Deep Adaptive Inference Networks for Single Image Super-Resolution☆99Aug 26, 2020Updated 5 years ago
- Official PyTorch implements for Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed…☆52Jan 13, 2022Updated 4 years ago
- ☆359Mar 2, 2022Updated 4 years ago
- [NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution☆313Feb 23, 2021Updated 5 years ago
- ☆12Dec 9, 2022Updated 3 years ago
- Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution☆441Jan 21, 2024Updated 2 years ago