StoryEngine: A State-Grounded Agentic Framework for Video Storytelling

arXiv:2609.33627 · cs.CV, cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Project page: https://wwwtaylor.github.io/StoryEngine

Terminology

• Consistency — 20× in this paper · explained in 3 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Grounding — 7× in this paper · explained in 3 episodes
• Agentic Framework — 5× in this paper · explained in 6 episodes
• Agentic System — 5× in this paper · explained in 2 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Anchor Persistence Rate — 2× in this paper
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Event Completion Score — 2× in this paper
• Geometric Place Consistency — 2× in this paper
• Lighting Coherence Score — 2× in this paper
• Location Adherence Rate — 2× in this paper
• Minimum Identity Retention — 2× in this paper
• Plan Event Coverage — 2× in this paper
• State Progression Score — 2× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Rethinking Atrous Convolution for Semantic Image Segmentation
• Seedance 1.0: Exploring the Boundaries of Video Generation Models
• StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
• ViMax: Agentic Video Generation
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• A$^2$RD: Agentic Autoregressive Diffusion for Long Video Consistency
• Co-Director: Agentic Generative Video Storytelling
• Video-Infinity: Distributed Long Video Generation
• Wan: Open and Advanced Large-Scale Video Generative Models
• Automated Movie Generation via Multi-Agent CoT Planning

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