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
Alternatives and similar repositories for ARM-Net
Users that are interested in ARM-Net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)☆45Jul 20, 2022Updated 4 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆55Apr 27, 2025Updated last year
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆78Jan 4, 2022Updated 4 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
- 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆17Jul 10, 2022Updated 4 years ago
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆61Apr 5, 2022Updated 4 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆378Mar 23, 2025Updated last year
- [ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"☆61Aug 19, 2022Updated 4 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆238Oct 18, 2021Updated 5 years ago
- Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks☆36Mar 25, 2024Updated 2 years ago
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆16Mar 22, 2023Updated 3 years ago
- [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution☆71Mar 23, 2023Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆96Jun 3, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- (CVPR2022) Reflash Dropout in Image Super-Resolution☆82Jul 25, 2024Updated 2 years ago
- Super-Efficient Super Resolution☆102Mar 21, 2022Updated 4 years ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆35Jun 19, 2023Updated 3 years ago
- [ACCV2022 (Oral)] Efficient Hardware-aware Neural Architecture Search for Image Super-resolution on Mobile Devices☆18Oct 5, 2022Updated 4 years ago
- [CVPR 2023] Learning Steerable Function for Efficient Image Resampling☆17Jun 1, 2023Updated 3 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
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆24May 11, 2023Updated 3 years ago
- Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021☆388Nov 15, 2021Updated 4 years ago
- [ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution☆241Jul 20, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Feb 15, 2022Updated 4 years ago
- A Collection of Papers and Codes in ECCV2022 about low level vision☆170Apr 28, 2023Updated 3 years ago
- Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.☆25Feb 15, 2023Updated 3 years ago
- ☆18Jan 7, 2026Updated 9 months ago
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Jun 9, 2022Updated 4 years ago
- [ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution☆29Mar 10, 2024Updated 2 years ago
- A Collection of Papers and Codes in CVPR2023/2022 about low level vision☆657Mar 1, 2024Updated 2 years ago
- ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution☆158Jun 25, 2022Updated 4 years ago
- ☆19Jun 1, 2022Updated 4 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.
- Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution☆77Apr 21, 2022Updated 4 years ago
- PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).☆183Feb 27, 2022Updated 4 years ago
- ☆10Jun 25, 2023Updated 3 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆77Nov 14, 2022Updated 3 years ago
- ☆196Jun 9, 2025Updated last year
- ☆11Nov 3, 2024Updated last year
- ☆13Apr 15, 2023Updated 3 years ago