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Polyvivid: Vivid multi-subject video generation with cross-modal interaction and enhancement

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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citation-polarity summary

fields

cs.CV 3

years

2026 3

verdicts

UNVERDICTED 3

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background 2

representative citing papers

Evolution of Video Generative Foundations

cs.CV · 2026-04-07 · unverdicted · novelty 2.0

This survey traces video generation technology from GANs to diffusion models and then to autoregressive and multimodal approaches while analyzing principles, strengths, and future trends.

citing papers explorer

Showing 3 of 3 citing papers.

  • MetaWorld: Scaling Multi-Agent Video World Model from Single-view Video Data cs.CV · 2026-06-01 · unverdicted · none · ref 11

    MetaWorld scales multi-agent video world models from single-view videos using monocular decomposition into ego-motion and trajectories, subject-aware generation, and cross-attention alignment for consistency.

  • PresentAgent-2: Towards Generalist Multimodal Presentation Agents cs.CV · 2026-05-12 · unverdicted · none · ref 9

    PresentAgent-2 generates query-driven multimodal presentation videos with research grounding, supporting single-speaker, multi-speaker discussion, and interactive question-answering modes.

  • Evolution of Video Generative Foundations cs.CV · 2026-04-07 · unverdicted · none · ref 206

    This survey traces video generation technology from GANs to diffusion models and then to autoregressive and multimodal approaches while analyzing principles, strengths, and future trends.