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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
| Date | Stars |
|---|---|
| 2026-07-24 | 391 |
| 2026-07-25 | 391 |
| 2026-07-28 | 391 |
| 2026-07-30 | 391 |
| 2026-08-06 | 391 |
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### 📖 Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution > <a href="https://colab.research.google.com/drive/19DdsNFeOYR8om8QCCi9WWzr_WkWTLHZd?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a> [](https://openxlab.org.cn/apps/detail/Melokyyy/SAFMN) [](https://huggingface.co/spaces/Meloo/SAFMN) [](https://huggingface.co/Meloo/SAFMN/tree/main) [](https://www.bilibili.com/video/BV1Hc411Q7uD/?t=7000)  [](https://github.com/sunny2109/SAFMN) <br> > [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Sun_Spatially-Adaptive_Feature_Modulation_for_Efficient_Image_Super-Resolution_ICCV_2023_paper.pdf)]   [[Supp](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Sun_Spatially-Adaptive_Feature_Modulation_ICCV_2023_supplemental.pdf)] <br> > [Long Sun](https://github.com/sunny2109), [Jiangxin Dong](https://scholar.google.com/citations?user=ruebFVEAAAAJ&hl=zh-CN&oi=ao), [Jinhui Tang](https://scholar.google.com/citations?user=ByBLlEwAAAAJ&hl=zh-CN), and [Jinshan Pan](https://jspan.github.io/) <br> > [IMAG Lab](https://imag-njust.net/), Nanjing University of Science and Technology --- <p align="center"> <img width="800" src="./figs/framework.png"> </p> *An overview of the proposed SAFMN. SAFMN first transforms the input LR image into the feature space using a convolutional layer, performs feature extraction using a series of feature mixing modules (FMMs), and then reconstructs these extracted features by an upsampler module. The FMM block is mainly implemented by a spatially-adaptive feature modulation (SAFM) layer and a convolutional channel mixer (CCM).* ## 🚩 News - [2025-12-23] Add the [Real_SAFMN++](https://github.com/sunny2109/SAFMN/tree/main/AIM2025_EPSR), which is the **1st** place winner of the [AIM 2025 Efficient Perceptual Super-Resolution Challenge](https://arxiv.org/pdf/2510.12765v1). - [2024-07-16] Add 🤗[HuggingFace](https://huggingface.co/spaces/Meloo/SAFMN) online demo! - [2024-05-08] Add the [light_SAFMN++](https://github.com/sunny2109/SAFMN/tree/main/AIS2024-RTSR), which is the **1st** place winner of the fidelity track of the [Real-time 4K Super Resolution Challenge for compressed AVIF images](https://arxiv.org/pdf/2404.16484v1), and is invited to give an **[oral](https://drive.google.com/drive/folders/1N6Lts1n0czO_nwYww1LiGaVmwCf-OrAl?usp=sharing)** presentation at the [AIS2024](https://ai4streaming-workshop.github.io/) workshop. - [2024-03-27] Add the improved ESR model [SAFMN++](https://github.com/sunny2109/SAFMN/tree/main/NTIRE2024_ESR), which ranks Top4 in the Overall Performance track and Runtime track of NTIRE2024 [ESR](https://arxiv.org/pdf/2404.10343v1) challenge - [2024-03-16] Add [SAFMN_BCIE](https://github.com/sunny2109/SAFMN/releases/download/v0.1.1/SAFMN_BCIE.pth), which enhances the quality of JPEG images compressed with a large range of quality factors. The corresponding inference code can be found [here](https://github.com/sunny2109/SAFMN/blob/main/inference/inference_safmn_bcie.py). - [2023-11-22] The code for ONNX export is available [here](https://github.com/sunny2109/SAFMN/tree/main/scripts/to_onnx) - [2023-09-08] Add :panda_face: [OpenXLab](https://openxlab.org.cn/apps/detail/Melokyyy/SAFMN) online demo! - [2023-08-31] Update [SAFMN_Real_x4.pth](https://github.com/sunny2109/SAFMN/releases/download/v0.1.0/SAFMN_L_Real_LSDIR_x4-v2.pth) - [2023-08-31] Add [SAFMN_Real_x2.pth](https://github.com/sunny2109/SAFMN/releases/d
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4e3e90dd54b4b056, topic:super-resolution, desc:super resolution, readme:super resolution
matched fp:4e3e90dd54b4b056, topic:pytorch