Introduces KathaTrace protocol and KathaBench-25K benchmark to quantify Semantic Trajectory Gap (STG) as the loss of transition meaning in visualized narratives, reporting STG of 23.5 +/- 1.3 across generators.
Mm- storyagent: Immersive narrated storybook video generation with a multi-agent paradigm across text, image and audio
6 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 6representative citing papers
Geometry-indexed depth–pose retrieval plus schema SFT and GRPO planning improves faithfulness, consistency, and controllability of plot-to-short-drama video generation over multi-agent and text-only baselines.
A training-free framework that reorders shot generation and maintains per-entity visual memory improves cross-shot character, object, and scene consistency over narrative-order memory baselines.
Crayotter, a multimodal multi-agent video editor that exposes every planning and tool step, scored 3.40/5 in human evaluation on 23 themes, beating two baselines (2.44 and 1.70).
A self-reasoning agentic framework constructs a Product Narrative Framework, generates constraint-aware unified grid collages, and refines outputs via failure attribution to improve narrative coherence and aesthetics over direct prompting.
A training-free framework generates expressive, character-grounded dialogue and speech from scene prompts using vision-language encoders, LLMs, and a recursive narrative memory bank for cross-scene consistency.
citing papers explorer
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KathaTrace: Diagnosing Semantic Trajectory Collapse in Generated Visual Narratives
Introduces KathaTrace protocol and KathaBench-25K benchmark to quantify Semantic Trajectory Gap (STG) as the loss of transition meaning in visualized narratives, reporting STG of 23.5 +/- 1.3 across generators.
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DramaDirector: Geometry-Guided Short Drama Generation
Geometry-indexed depth–pose retrieval plus schema SFT and GRPO planning improves faithfulness, consistency, and controllability of plot-to-short-drama video generation over multi-agent and text-only baselines.
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GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling
A training-free framework that reorders shot generation and maintains per-entity visual memory improves cross-shot character, object, and scene consistency over narrative-order memory baselines.
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Crayotter: Traceable Multi-Agent Workflows for Long-Form Video Editing
Crayotter, a multimodal multi-agent video editor that exposes every planning and tool step, scored 3.40/5 in human evaluation on 23 themes, beating two baselines (2.44 and 1.70).
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Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation
A self-reasoning agentic framework constructs a Product Narrative Framework, generates constraint-aware unified grid collages, and refines outputs via failure attribution to improve narrative coherence and aesthetics over direct prompting.
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Character-Centered Dialogue Generation from Scene-Level Prompts
A training-free framework generates expressive, character-grounded dialogue and speech from scene prompts using vision-language encoders, LLMs, and a recursive narrative memory bank for cross-scene consistency.