mlsanityData to 7 Oct 2026

NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results

arXiv 2409.16947 ↗First posted 25 Sep 2024cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a magnification factor of x4 under a limited computational budget. Compared with single image SR, the major challenge of this challenge lies in how to exploit additional information in another viewpoint and how to maintain stereo consistency in the results. This challenge has 2 tracks, including one track on bicubic degradation and one track on real degradations. In total, 108 and 70 participants were successfully registered for each track, respectively. In the test phase, 14 and 13 teams successfully submitted valid results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 49 of its 69 references that are in the map. First posted on arXiv 25 Sep 2024.

Builds on

49 of 69 references.

References · 49

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  3. 2016Densely Connected Convolutional Networkscited by 6,691
  4. 2018CBAM: Convolutional Block Attention Modulecited by 2,463
  5. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,869
  6. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  7. 2017Enhanced Deep Residual Networks for Single Image Super-Resolutioncited by 1,543
  8. 2018Image Super-Resolution Using Very Deep Residual Channel Attention Networkscited by 1,256
  9. 2015Accurate Image Super-Resolution Using Very Deep Convolutional Networkscited by 902
  10. 2018Residual Dense Network for Image Super-Resolutioncited by 796
  11. 2022Simple Baselines for Image Restorationcited by 701
  12. 2020Learning Continuous Image Representation with Local Implicit Image Functioncited by 550
37 more
  1. 2017Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolutioncited by 452
  2. 2022Activating More Pixels in Image Super-Resolution Transformercited by 433
  3. 2023Symbolic Discovery of Optimization Algorithmscited by 423
  4. 2018Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Networkcited by 263
  5. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  6. 2021Unsupervised Degradation Representation Learning for Blind Super-Resolutioncited by 177
  7. 2021Transformer for Single Image Super-Resolutioncited by 150
  8. 2023Dual Aggregation Transformer for Image Super-Resolutioncited by 124
  9. 2018Fast and Accurate Single Image Super-Resolution via Information Distillation Networkcited by 121
  10. 2022NAFSSR: Stereo Image Super-Resolution Using NAFNetcited by 75
  11. 2022SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolutioncited by 67
  12. 2019Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Searchcited by 66
  13. 2020Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategycited by 66
  14. 2020Learning A Single Network for Scale-Arbitrary Super-Resolutioncited by 65
  15. 2023Omni Aggregation Networks for Lightweight Image Super-Resolutioncited by 62
  16. 2024The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Reportcited by 57
  17. 2015Seven ways to improve example-based single image super resolutioncited by 51
  18. 2024NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 40
  19. 2020Parallax Attention for Unsupervised Stereo Correspondence Learningcited by 39
  20. 2020Symmetric Parallax Attention for Stereo Image Super-Resolutioncited by 35
  21. 2020AdderSR: Towards Energy Efficient Image Super-Resolutioncited by 32
  22. 2021Best-Buddy GANs for Highly Detailed Image Super-Resolutioncited by 30
  23. 2024NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Resultscited by 29
  24. 2024NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Resultscited by 26
  25. 2022Memory-augmented Deep Unfolding Network for Guided Image Super-resolutioncited by 25
  26. 2021Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimationcited by 21
  27. 2024NTIRE 2024 Quality Assessment of AI-Generated Content Challengecited by 20
  28. 2021A Systematic Survey of Deep Learning-based Single-Image Super-Resolutioncited by 19
  29. 2023Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstructioncited by 18
  30. 2024Transforming Image Super-Resolution: A ConvFormer-based Efficient Approachcited by 13
  31. 2022NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Resultscited by 12
  32. 2024NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challengecited by 9
  33. 2024Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Surveycited by 7
  34. 2023PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolutioncited by 6
  35. 2024Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Surveycited by 6
  36. 2023Cross-View Hierarchy Network for Stereo Image Super-Resolutioncited by 4
  37. 2024NTIRE 2024 Challenge on Night Photography Renderingcited by 4

Built on by

Not cited yet.