Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
☆30Sep 13, 2022Updated 4 years ago
Alternatives and similar repositories for DDTB
Users that are interested in DDTB are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆16Sep 13, 2022Updated 4 years ago
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆20Jul 25, 2021Updated 5 years ago
- [ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"☆61Aug 19, 2022Updated 4 years ago
- Residual Local Feature Network for Efficient Image Super-Resolution☆15Jun 9, 2022Updated 4 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.
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆56Sep 11, 2026Updated last month
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆81Sep 28, 2022Updated 4 years ago
- ☆12Nov 17, 2023Updated 2 years ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆75May 9, 2022Updated 4 years ago
- ☆50Apr 7, 2022Updated 4 years ago
- ☆20Feb 4, 2025Updated last year
- edge-SR: Super-Resolution For The Masses☆61Jan 1, 2022Updated 4 years ago
- PArameterized Max Scale☆60Dec 27, 2021Updated 4 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆124May 9, 2022Updated 4 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.
- The code for the Lipschitz Continuity Retained Binary Neural Network, which has been accepted to ECCV 2022.☆10Jul 13, 2022Updated 4 years ago
- Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)☆76Apr 27, 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
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆22Jan 13, 2023Updated 3 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 6 years ago
- vision transformer; post-training quantization; model compression; ViT☆13Sep 1, 2026Updated 2 months ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34May 20, 2021Updated 5 years ago
- ☆32Jun 9, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Jan 12, 2023Updated 3 years ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆146Apr 1, 2023Updated 3 years ago
- The implementation code of AAAI 2020 paper "Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution".☆12Dec 31, 2019Updated 6 years ago
- ☆30Nov 23, 2023Updated 2 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Oct 14, 2020Updated 6 years ago
- [CVPR 2024] Official implementation of "Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss"☆69Aug 14, 2026Updated 2 months ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆35Jun 19, 2023Updated 3 years ago
- ☆18Jan 7, 2026Updated 10 months ago
- Winner solution of mobile AI (CVPRW 2021).☆158May 14, 2022Updated 4 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.
- Official implementation of the CVPR'23 Paper "ABCD : Arbitrary Bitwise Coefficient for De-quantization"☆31Jun 1, 2023Updated 3 years ago
- [TPAMI 2025] Implementation of "Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution"☆17Mar 27, 2025Updated last year
- Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.☆33Sep 13, 2022Updated 4 years ago
- [CVPR2024] Official Code for the "AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution"☆64Apr 10, 2024Updated 2 years ago
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)☆45Jul 20, 2022Updated 4 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- ☆17Jul 10, 2022Updated 4 years ago