Video-to-Sound Generation

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

6 shown of 6 papers with code (9 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.

• MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
  19 Dec 2024 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  We propose to synthesize high-quality and synchronized audio, given video and optional text conditions, using a novel multimodal joint training framework MMAudio.
• Tell What You Hear From What You See -- Video to Audio Generation Through Text
  8 Nov 2024 1 repository listed Syntology ran 0 of 6 samples · 6 unverified · 6 pointer-only (licence)
  Experiments show that when VATT is compared to existing video-to-audio generation methods in objective metrics, it achieves competitive performance when the audio caption is not provided.
• Temporally Aligned Audio for Video with Autoregression
  20 Sep 2024 1 repository listed Syntology ran 11 of 13 samples · 2 unverified
  We introduce V-AURA, the first autoregressive model to achieve high temporal alignment and relevance in video-to-audio generation.
• Read, Watch and Scream! Sound Generation from Text and Video
  8 Jul 2024 1 repository listed Syntology ran 18 of 22 samples · 4 unverified · 22 pointer-only (licence)
  Despite the impressive progress of multimodal generative models, video-to-audio generation still suffers from limited performance and limits the flexibility to prioritize sound synthesis for specific objects within the…
• Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
  1 Jun 2024 1 repository listed Syntology ran 14 of 17 samples · 3 unverified
  By employing a non-autoregressive vector field estimator based on a feed-forward transformer and channel-level cross-modal feature fusion with strong temporal alignment, our model generates audio that is highly…
• V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
  18 Aug 2023 1 repository listed
  In this paper, we propose a lightweight solution to this problem by leveraging foundation models, specifically CLIP, CLAP, and AudioLDM.

Syntology lines on 5 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.