Video-to-Video Synthesis

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

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

10 shown of 10 papers with code (18 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.

• Video-to-Video Synthesis
  20 Aug 2018 10 repositories listed
  We study the problem of video-to-video synthesis, whose goal is to learn a mapping function from an input source video (e.
• Few-shot Video-to-Video Synthesis
  28 Oct 2019 6 repositories listed
  To address the limitations, we propose a few-shot vid2vid framework, which learns to synthesize videos of previously unseen subjects or scenes by leveraging few example images of the target at test time.
• Deep Video Inpainting
  5 May 2019 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Video inpainting aims to fill spatio-temporal holes with plausible content in a video.
• Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior
  7 Jun 2024 1 repository listed
  This enables a greater number of cross-frame attentions over more frames within the same computational budget, thereby enhancing both video quality and temporal coherence.
• MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
  3 Apr 2024 1 repository listed
  We demonstrate that mesh stylization is a promising approach for creating realistic simulations for downstream tasks such as training networks and preoperative planning.
• SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches
  1 Sep 2022 1 repository listed
  We propose a problem formulation that more closely adheres to the standard workflow of animation.
• Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
  11 Jul 2022 1 repository listed
  In this paper, we present a spatial-temporal compression framework, \textbf{Fast-Vid2Vid}, which focuses on data aspects of generative models.
• Compositional Video Synthesis with Action Graphs
  27 Jun 2020 1 repository listed Syntology ran 4 of 6 samples · 2 unverified
  Our generative model for this task (AG2Vid) disentangles motion and appearance features, and by incorporating a scheduling mechanism for actions facilitates a timely and coordinated video generation.
• GANs in computer vision ebook
  10 Jun 2020 1 repository listed
  We do hope that this series will provide you a big overview of the field, so that you will not need to read all the literature by yourself, independent of your background on GANs.
• Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
  8 May 2019 1 repository listed
  Blind video decaptioning is a problem of automatically removing text overlays and inpainting the occluded parts in videos without any input masks.

Syntology lines on 2 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.