MingSun-Tse / SRPLinks
[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"
☆29Updated 2 years ago
Alternatives and similar repositories for SRP
Users that are interested in SRP are comparing it to the libraries listed below
Sorting:
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆61Updated 3 years ago
- [ACCV2022 (Oral)] Efficient Hardware-aware Neural Architecture Search for Image Super-resolution on Mobile Devices☆18Updated 3 years ago
- [ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"☆60Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Updated 3 years ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆49Updated 2 years ago
- SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)☆39Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆82Updated 3 years ago
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆50Updated last year
- ☆39Updated last year
- Pytorch implementation of our paper accepted by ICLR 2023 -- "Real-time Image Demoireing on Mobile Devices".☆43Updated 2 years ago
- Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)☆24Updated 3 years ago
- Paper accepted by CVPR Workshop, NTIRE 2022☆31Updated last year
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Updated 2 years ago
- ☆30Updated last year
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆76Updated 3 years ago
- [ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution☆28Updated last year
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 4 years ago
- Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks☆35Updated last year
- [CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/max…☆20Updated 3 years ago
- PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"☆42Updated last year
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆54Updated 6 months ago
- Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]☆20Updated 3 years ago
- [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution☆71Updated 2 years ago
- The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift☆45Updated 2 years ago
- Repository for the ECCV 2020 paper: "Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping"☆33Updated 4 years ago
- AdaDM: Enabling Normalization for Image Super-Resolution☆60Updated 3 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆42Updated 3 years ago
- Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)☆42Updated 3 years ago
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆24Updated 2 years ago
- ☆19Updated 2 years ago