mlsanityData to 14 Oct 2026

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource

arXiv 2407.04241 ↗First posted 5 Jul 2024cs.CV cs.AIcited by 3

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Abstract (arXiv)

In an effort to improve the efficiency and scalability of single-image super-resolution (SISR) applications, we introduce AnySR, to rebuild existing arbitrary-scale SR methods into any-scale, any-resource implementation. As a contrast to off-the-shelf methods that solve SR tasks across various scales with the same computing costs, our AnySR innovates in: 1) building arbitrary-scale tasks as any-resource implementation, reducing resource requirements for smaller scales without additional parameters; 2) enhancing any-scale performance in a feature-interweaving fashion, inserting scale pairs into features at regular intervals and ensuring correct feature/scale processing. The efficacy of our AnySR is fully demonstrated by rebuilding most existing arbitrary-scale SISR methods and validating on five popular SISR test datasets. The results show that our AnySR implements SISR tasks in a computing-more-efficient fashion, and performs on par with existing arbitrary-scale SISR methods. For the first time, we realize SISR tasks as not only any-scale in literature, but also as any-resource. Code is available at https://github.com/CrispyFeSo4/AnySR.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 46 of its 71 references that are in the map. First posted on arXiv 5 Jul 2024.

Builds on

46 of 71 references.

References · 46

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  3. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,908
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34 more
  1. 2020Learning Continuous Image Representation with Local Implicit Image Functioncited by 552
  2. 2021RepVGG: Making VGG-style ConvNets Great Againcited by 522
  3. 2020Plug-and-Play Image Restoration with Deep Denoiser Priorcited by 470
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  9. 2020Single Image Super-Resolution via a Holistic Attention Networkcited by 265
  10. 2018Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Networkcited by 264
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  12. 2019Lightweight Image Super-Resolution with Information Multi-distillation Networkcited by 227
  13. 2015Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restorationcited by 195
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  19. 2020Residual Feature Distillation Network for Lightweight Image Super-Resolutioncited by 122
  20. 2022CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolutioncited by 70
  21. 2020Learning A Single Network for Scale-Arbitrary Super-Resolutioncited by 66
  22. 2022Residual Local Feature Network for Efficient Super-Resolutioncited by 53
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  26. 2022Fast and Memory-Efficient Network Towards Efficient Image Super-Resolutioncited by 27
  27. 2022ARM: Any-Time Super-Resolution Methodcited by 19
  28. 2023OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolutioncited by 17
  29. 2022Adaptive Patch Exiting for Scalable Single Image Super-Resolutioncited by 16
  30. 2021MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GANcited by 14
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  32. 2023Real-Time Image Demoireing on Mobile Devicescited by 13
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  34. 2023High-Similarity-Pass Attention for Single Image Super-Resolutioncited by 11

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025An Efficient and Mixed Heterogeneous Model for Image Restorationcited by 4
  2. 2025Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolutioncited by 0
  3. 2026Towards Voxel Spacing Consistency for Medical Image Segmentationcited by 0