colorjam / PAMS
PArameterized Max Scale
☆58Updated 3 years ago
Alternatives and similar repositories for PAMS:
Users that are interested in PAMS are comparing it to the libraries listed below
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆61Updated 3 years ago
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆28Updated 2 years ago
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 3 years ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆76Updated 2 years ago
- ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution☆154Updated 2 years ago
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆27Updated 2 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- ☆53Updated 4 years ago
- Super-Efficient Super Resolution☆96Updated 3 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆76Updated 3 years ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆48Updated 2 years ago
- Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).☆64Updated 2 years ago
- Fast Image Restoration with Multi-bin Trainable Linear Units.☆11Updated 5 years ago
- ☆30Updated last year
- This repository is an implementation of the paper "Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Search"…☆22Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆52Updated 2 years ago
- ☆46Updated 3 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆39Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆80Updated 2 years ago
- MAI 2021 Workshop☆42Updated 4 years ago
- ☆50Updated 3 years ago
- SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)☆38Updated 3 years ago
- NTIRE 2020 Image Deblurring Challenge: Track 2 on Smartphone☆48Updated 5 years ago
- Official implementation of ExpandNets (NeurIPS2020)☆37Updated 3 years ago
- Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).☆39Updated 2 years ago
- ☆24Updated 5 years ago
- Image Restoration Toolkit in PyTorch☆37Updated 4 years ago