Seeing Beyond the Visible

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

2 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.

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (8 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.

• Resolution-robust Large Mask Inpainting with Fourier Convolutions
  15 Sep 2021 8 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  We find that one of the main reasons for that is the lack of an effective receptive field in both the inpainting network and the loss function.
• Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer
  21 Nov 2022 3 repositories listed
  In this paper, we propose the concept of online video inpainting for autonomous vehicles to expand the field of view, thereby enhancing scene visibility, perception, and system safety.
• Towards An End-to-End Framework for Flow-Guided Video Inpainting
  6 Apr 2022 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories.
• Learning Joint Spatial-Temporal Transformations for Video Inpainting
  20 Jul 2020 2 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  In this paper, we propose to learn a joint Spatial-Temporal Transformer Network (STTN) for video inpainting.
• Wide-Context Semantic Image Extrapolation
  1 Jun 2019 2 repositories listed
  This paper studies the fundamental problem of extrapolating visual context using deep generative models, i.
• Predicting Soil Properties from Hyperspectral Satellite Images
  18 Oct 2022 1 repository listed
  The AI4EO HYPERVIEW challenge seeks machine learning methods that predict agriculturally relevant soil parameters (K, Mg, P2O5, pH) from airborne hyperspectral images.
• Reduce Information Loss in Transformers for Pluralistic Image Inpainting
  10 May 2022 1 repository listed
  The indices of quantized pixels are used as tokens for the inputs and prediction targets of transformer.
• FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
  7 Sep 2021 1 repository listed Syntology ran 10 of 11 samples · 1 unverified · 11 pointer-only (licence)
  On the contrary, the soft composition operates by stitching different patches into a whole feature map where pixels in overlapping regions are summed up.

Syntology lines on 4 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.