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.
Mm-storyagent: Immersive narrated story- book video generation with a multi-agent paradigm across text, image and audio.arXiv preprint arXiv:2503.05242
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 2verdicts
UNVERDICTED 2representative citing papers
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
-
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.
-
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.