Single-Domain Subject-to-Video

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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.

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (6 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.

• OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
  26 May 2025 2 repositories listed Syntology ran 3 of 38 samples · 35 unverified
  In contrast to existing S2V benchmarks inherited from VBench that focus on global and coarse-grained assessment of generated videos, OpenS2V-Eval focuses on the model's ability to generate subject-consistent videos with…
• VACE: All-in-One Video Creation and Editing
  10 Mar 2025 2 repositories listed Syntology ran 8 of 19 samples · 11 unverified
  Further pursuing the unification of generation and editing tasks has yielded significant progress in the domain of image content creation.
• MAGREF: Masked Guidance for Any-Reference Video Generation
  29 May 2025 1 repository listed Syntology ran 5 of 14 samples · 9 unverified
  Video generation has made substantial strides with the emergence of deep generative models, especially diffusion-based approaches.
• HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation
  7 May 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Customized video generation aims to produce videos featuring specific subjects under flexible user-defined conditions, yet existing methods often struggle with identity consistency and limited input modalities.
• SkyReels-A2: Compose Anything in Video Diffusion Transformers
  3 Apr 2025 1 repository listed
  This paper presents SkyReels-A2, a controllable video generation framework capable of assembling arbitrary visual elements (e.
• Phantom: Subject-consistent video generation via cross-modal alignment
  16 Feb 2025 1 repository listed Syntology ran 3 of 12 samples · 9 unverified
  The continuous development of foundational models for video generation is evolving into various applications, with subject-consistent video generation still in the exploratory stage.

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.