Stereo Image Super-Resolution

Benchmarks archive 2025-07-28

10 leaderboard tables shown for this task, 10 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (24 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• NAFSSR: Stereo Image Super-Resolution Using NAFNet
  19 Apr 2022 5 repositories listed
  This paper inherits a strong and simple image restoration model, NAFNet, for single-view feature extraction and extends it by adding cross attention modules to fuse features between views to adapt to binocular scenarios.
• SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
  24 Aug 2022 2 repositories listed
  Transformer-based methods have achieved impressive image restoration performance due to their capacities to model long-range dependency compared to CNN-based methods.
• Parallax Attention for Unsupervised Stereo Correspondence Learning
  16 Sep 2020 2 repositories listed
  Based on our PAM, we propose a parallax-attention stereo matching network (PASMnet) and a parallax-attention stereo image super-resolution network (PASSRnet) for stereo matching and stereo image super-resolution tasks.
• ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution
  4 Jul 2024 1 repository listed
  Compared to the more complicated full fine-tuning approach, our method reduces training time and memory consumption by 57% and 15%, respectively.
• Learning Accurate and Enriched Features for Stereo Image Super-Resolution
  23 Jun 2024 1 repository listed
  To overcome this problem, we propose a mixed-scale selective fusion network (MSSFNet) to preserve precise spatial details and incorporate abundant contextual information, and adaptively select and fuse most accurate…
• NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution
  14 May 2024 1 repository listed
  Here, we propose a simple yet efficient stereo image SR model called NAFRSSR, which is modified from the previous state-of-the-art model NAFSSR by introducing recursive connections and lightweighting the constituent…
• Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution
  9 May 2024 1 repository listed
  Stereo image super-resolution utilizes the cross-view complementary information brought by the disparity effect of left and right perspective images to reconstruct higher-quality images.
• Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information
  13 Dec 2023 1 repository listed
  Real-world stereo image super-resolution has a significant influence on enhancing the performance of computer vision systems.
• Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
  17 Apr 2023 1 repository listed
  This work aims to improve the applicability of diffusion models in realistic image restoration.
• Cross-View Hierarchy Network for Stereo Image Super-Resolution
  13 Apr 2023 1 repository listed
  Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views.
• Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
  2 Jun 2021 1 repository listed
  Besides the cross-view information exploitation in the low-resolution (LR) space, HR representations produced by the SR process are utilized to perform HR disparity estimation with higher accuracy, through which the HR…
• Symmetric Parallax Attention for Stereo Image Super-Resolution
  7 Nov 2020 1 repository listed
  Although recent years have witnessed the great advances in stereo image super-resolution (SR), the beneficial information provided by binocular systems has not been fully used.
• Learning Parallax Attention for Stereo Image Super-Resolution
  14 Mar 2019 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Stereo image pairs can be used to improve the performance of super-resolution (SR) since additional information is provided from a second viewpoint.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.