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
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆27Updated 2 years ago
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Updated 2 years ago
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆59Updated 2 years ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆75Updated 2 years ago
- Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).☆63Updated last year
- Super-Efficient Super Resolution☆91Updated 2 years ago
- ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution☆147Updated 2 years ago
- Official implementation of ExpandNets (NeurIPS2020)☆37Updated 2 years ago
- ☆31Updated last year
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆26Updated last year
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆75Updated 3 years ago
- ☆53Updated 4 years ago
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆79Updated 2 years ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆47Updated 2 years ago
- Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution☆72Updated 2 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆58Updated 2 years ago
- edge-SR: Super-Resolution For The Masses☆58Updated 3 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆51Updated 2 years ago
- Fast Image Restoration with Multi-bin Trainable Linear Units.☆11Updated 5 years ago
- This repository is an implementation of the paper "Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Search"…☆22Updated 2 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆40Updated 2 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Updated 4 years ago
- Image Restoration Toolkit in PyTorch☆37Updated 4 years ago
- HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution☆58Updated 4 years ago
- AdaDM: Enabling Normalization for Image Super-Resolution☆60Updated 3 years ago
- Enhancing Low Light Videos. ICCV2019☆27Updated 5 years ago
- ☆60Updated 3 years ago
- [WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"☆24Updated 11 months ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago