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paperarXivTrust 82 · PrimaryPublished 19h agoLive · 8m ago

PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

Video generation is rapidly evolving from single-shot clips to multi-shot narratives, where the human character serves as the core narrative anchor. However, existing benchmarks mainly assess character appearance or individual-shot quality, without measuring whether physical and emotional states remain coherent across cuts. They also rarely provide criterion-specific evaluation methods, although physical continuity, facial dynamics, and cinematic relations require different visual, temporal, and relational evidence. To address these limitations, we introduce PersonaShot, the first person-centr

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  • FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow

    Shared author/contributor keys: wang

  • FuzzyOverlapping authors or contributors · 62%ray-project/ray

    Shared author/contributor keys: wang

  • FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses

    Fuzzy title match (0.73): “PersonaShot: Benchmarking Person-Centric Narrative Continuit” ≈ “Developer-Y/cs-video-courses”

  • LinkedLinked via arxiv author · 85%Yuji Wang

    PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

  • LinkedLinked via arxiv author · 85%Yuheng Chen

    PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

  • LinkedLinked via arxiv author · 85%Teng Hu

    PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

  • LinkedLinked via arxiv author · 85%Ran Yi

    PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

  • LinkedLinked via arxiv author · 85%Yijia Hong

    PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

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