Analog Video Restoration

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

1 dataset 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

7 shown of 7 papers with code (7 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.

• Recurrent Video Restoration Transformer with Guided Deformable Attention
  5 Jun 2022 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified · 5 pointer-only (licence)
  Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
• BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
  27 Apr 2021 3 repositories listed
  We show that by empowering the recurrent framework with the enhanced propagation and alignment, one can exploit spatiotemporal information across misaligned video frames more effectively.
• Reference-based Restoration of Digitized Analog Videotapes
  20 Oct 2023 2 repositories listed
  We design a transformer-based Swin-UNet network that exploits both neighboring and reference frames via our Multi-Reference Spatial Feature Fusion (MRSFF) blocks.
• Restoration of Analog Videos Using Swin-UNet
  7 Nov 2023 1 repository listed
  In this paper, we present a system to restore analog videos of historical archives.
• Multi-Scale Memory-Based Video Deblurring
  6 Apr 2022 1 repository listed Syntology ran 5 of 13 samples · 8 unverified
  Video deblurring has achieved remarkable progress thanks to the success of deep neural networks.
• Bringing Old Films Back to Life
  31 Mar 2022 1 repository listed
  We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.
• Memory-Augmented Non-Local Attention for Video Super-Resolution
  25 Aug 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Those methods achieve limited performance as they suffer from the challenge in spatial frame alignment and the lack of useful information from similar LR neighbor frames.

Syntology lines on 3 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.