☆108Jun 9, 2021Updated 5 years ago
Alternatives and similar repositories for GLEAN
Users that are interested in GLEAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆174May 25, 2021Updated 5 years ago
- ☆31May 27, 2021Updated 5 years ago
- Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.☆223Feb 26, 2024Updated 2 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆172Dec 6, 2021Updated 4 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆149Sep 19, 2021Updated 4 years ago
- 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.
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆187Aug 5, 2019Updated 6 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Sep 28, 2020Updated 5 years ago
- Official Code for our CVPR2023 paper "Human Guided Ground-truth Generation for Realistic Image Super-resolution"☆131Jun 6, 2026Updated last month
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆317Jun 29, 2022Updated 4 years ago
- (CVPR2022) Reflash Dropout in Image Super-Resolution☆82Jul 25, 2024Updated last year
- CVPR19 - Deep Network Interpolation for Continuous Imagery Effect Transition☆120Apr 12, 2019Updated 7 years ago
- ☆112Mar 21, 2023Updated 3 years ago
- Learning Cascaded Convolutional Networks for Blind Single Image Super-Resolution☆21Jul 15, 2020Updated 5 years ago
- Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.☆25Feb 15, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Mar 13, 2024Updated 2 years ago
- Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows☆97Aug 23, 2022Updated 3 years ago
- Residual Local Feature Network for Efficient Image Super-Resolution☆15Jun 9, 2022Updated 4 years ago
- Code for deep generative prior (ECCV2020 oral)☆521Jul 4, 2023Updated 3 years ago
- Downscale a set of images by randomly created kernels and save them☆79Jun 2, 2021Updated 5 years ago
- Blind Super Resolution based on USRNet and Kernel GAN☆17Oct 21, 2020Updated 5 years ago
- Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows, in ICML 2023☆14Feb 3, 2025Updated last year
- Official codes for DeSRA (ICML 2023)☆143Feb 2, 2024Updated 2 years ago
- ☆105Nov 22, 2021Updated 4 years 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.
- Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".☆292Dec 6, 2020Updated 5 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆376Mar 23, 2025Updated last year
- Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]☆21Jul 21, 2022Updated 3 years ago
- [NeurIPS 2021] Low-Rank Subspaces in GANs☆126Dec 24, 2022Updated 3 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆95Oct 24, 2022Updated 3 years ago
- Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!☆1,375Apr 12, 2024Updated 2 years ago
- Deep Adaptive Inference Networks for Single Image Super-Resolution☆99Aug 26, 2020Updated 5 years ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆283Apr 11, 2022Updated 4 years ago
- Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV…☆195Sep 29, 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.
- AdaDM: Enabling Normalization for Image Super-Resolution☆60Nov 30, 2021Updated 4 years ago
- OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs,…☆7,431Aug 6, 2024Updated last year
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆238Oct 18, 2021Updated 4 years ago
- ☆31Jul 14, 2022Updated 3 years ago
- Accepted by TMM 2021☆41Jun 30, 2022Updated 4 years ago
- Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".☆47Nov 18, 2022Updated 3 years ago
- NeurIPS 2023 - Real-world super-resolution as multi-task learning☆25Mar 15, 2024Updated 2 years ago