[NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
☆56Sep 11, 2026Updated last month
Alternatives and similar repositories for QuantSR
Users that are interested in QuantSR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"☆50Oct 24, 2024Updated 2 years ago
- [ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"☆61Aug 19, 2022Updated 4 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 4 years ago
- ☆12Dec 4, 2024Updated last year
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆24May 11, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution☆29Mar 10, 2024Updated 2 years ago
- [WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"☆27Feb 19, 2024Updated 2 years ago
- ☆14Oct 11, 2026Updated 2 weeks ago
- Official Pytorch Implementation for Weighted Multi-Kernel Prediction Network for Burst Image Super-resolution.☆10Nov 9, 2021Updated 4 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆16Sep 11, 2026Updated last month
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆16Mar 22, 2023Updated 3 years ago
- [ECCV 2026] Freqformer: Image-Demoiréing Transformer via Efficient Frequency Decomposition☆21Jul 7, 2026Updated 3 months ago
- [NeurIPS'22] Cross Aggregation Transformer for Image Restoration☆152Dec 8, 2024Updated last year
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Residual Local Feature Network for Efficient Image Super-Resolution☆15Jun 9, 2022Updated 4 years ago
- Collect LLM Quantization related papers, data, repositories☆12Aug 27, 2024Updated 2 years ago
- [AAAI'26] PyTorch code for our paper "QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution"☆34Jan 29, 2026Updated 9 months ago
- Repository for paper Temporal consistency learning for video super-resolution.☆12Jul 15, 2026Updated 3 months ago
- [NeurIPS'24] Binarized Diffusion Model for Image Super-Resolution☆55May 20, 2026Updated 5 months ago
- [CVPR2023] Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting☆89Jun 20, 2023Updated 3 years ago
- [CVPR2024] Official Code for the "AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution"☆64Apr 10, 2024Updated 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
- This project is the official implementation of 'Structured Sparsity Learning for Efficient Video Super-Resolution', CVPR2023☆98Dec 5, 2023Updated 2 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.
- Series solutions for Faster SR (NTIRE/ACCV)☆39Jun 13, 2025Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Sep 11, 2026Updated last month
- Some basic visulization functions☆14Jul 27, 2023Updated 3 years ago
- RobuQ: Pushing DiTS to W1.58A2 via Robust Activation Quantization☆17Oct 14, 2026Updated 2 weeks ago
- [CVPR 2024] Official implementation for "A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network"☆24Jul 27, 2026Updated 3 months ago
- CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution☆155Jun 14, 2023Updated 3 years ago
- ☆61Oct 30, 2025Updated last year
- This repository is an official PyTorch implementation of the paper "Lightweight Bimodal Network for Single-Image Super-Resolution via Sym…☆34Jun 30, 2022Updated 4 years ago
- [ECCV 2022 Oral🔥] KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution☆24Dec 14, 2025Updated 10 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023☆117Oct 13, 2023Updated 3 years ago
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆13May 6, 2023Updated 3 years ago
- This is the TensorFlow code for FC2N: Fully Channel-Concatenated Network for Single Image Super-Resolution.☆16Dec 2, 2019Updated 6 years ago
- ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution☆158Jun 25, 2022Updated 4 years ago
- official code for "EgoVSR: Towards High-Quality Egocentric Video Super-Resolution"☆16Jul 26, 2023Updated 3 years ago
- Efficient Mixed Transformer for Single Image Super-Resolution☆32Aug 10, 2023Updated 3 years ago
- Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)☆60Mar 14, 2025Updated last year