ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
☆157Jun 25, 2022Updated 3 years ago
Alternatives and similar repositories for Knowledge-Distillation-for-Super-resolution
Users that are interested in Knowledge-Distillation-for-Super-resolution are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.☆250Sep 25, 2020Updated 5 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆77Jan 4, 2022Updated 4 years ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆50Nov 13, 2022Updated 3 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆393Feb 17, 2024Updated 2 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Oct 18, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Deep Adaptive Inference Networks for Single Image Super-Resolution☆99Aug 26, 2020Updated 5 years ago
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆61Apr 5, 2022Updated 4 years ago
- Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained S…☆456Dec 17, 2023Updated 2 years ago
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆29Feb 18, 2023Updated 3 years ago
- ☆84Jun 29, 2023Updated 2 years ago
- ☆50Apr 7, 2022Updated 4 years ago
- PArameterized Max Scale☆58Dec 27, 2021Updated 4 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆241Oct 12, 2021Updated 4 years ago
- edge-SR: Super-Resolution For The Masses☆61Jan 1, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆66Apr 20, 2021Updated 4 years ago
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆82Sep 28, 2022Updated 3 years ago
- ☆24Jun 3, 2019Updated 6 years ago
- Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021☆385Nov 15, 2021Updated 4 years ago
- [ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution☆29Mar 10, 2024Updated 2 years ago
- (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks☆150Jan 4, 2022Updated 4 years ago
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Jan 12, 2023Updated 3 years ago
- Pytorch implementation of Natural and Realistic Single Image Super-Resolution☆17Apr 25, 2020Updated 5 years ago
- Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow☆29Dec 3, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Fast Image Restoration with Multi-bin Trainable Linear Units.☆11Dec 23, 2019Updated 6 years ago
- Second-order Attention Network for Single Image Super-resolution (CVPR-2019)☆579Mar 19, 2020Updated 6 years ago
- Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution☆173Jul 7, 2022Updated 3 years ago
- Winner solution of mobile AI (CVPRW 2021).☆158May 14, 2022Updated 3 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆417Jun 17, 2022Updated 3 years ago
- PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)☆134Jun 15, 2019Updated 6 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Mar 13, 2024Updated 2 years ago
- Codes for "Metric Learning based Interactive Modulation for Real-World Super-Resolution"☆177Jan 16, 2024Updated 2 years ago
- ☆96Nov 5, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆326Mar 20, 2025Updated last year
- This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW …☆36Nov 30, 2020Updated 5 years ago
- (CVPR2022) Reflash Dropout in Image Super-Resolution☆82Jul 25, 2024Updated last year
- CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution☆155Jun 14, 2023Updated 2 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆406Mar 4, 2021Updated 5 years ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116May 13, 2020Updated 5 years ago
- ☆357Mar 2, 2022Updated 4 years ago