Related papers: ViMax: Agentic Video Generation

ViMax: Agentic Video Generation

URL: http://arxiv.org/abs/2606.07649v1
Date: Tue, 02 Jun 2026 12:55:41 GMT
Title: ViMax: Agentic Video Generation
Abstract summary: Long-form video generation requires systematic narrative planning and visual consistency.<n>Our framework employs a hierarchical narrative engine with retrieval-augmented generation for global story coherence.<n>VLM-guided agents continuously monitor and refine both narrative coherence and visual fidelity.
Score: 55.546794487716646
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Long-form video generation requires systematic narrative planning and visual consistency that current short-clip methods cannot provide. Existing methods generate isolated sequences without narrative structure and lack mechanisms for maintaining character and environmental consistency across scenes. We present ViMax, an agentic video generation framework that addresses video creation through coordinated multi-agent collaboration where specialized components negotiate narrative decisions, visual continuity, and production quality. Our framework employs a hierarchical narrative engine with retrieval-augmented generation for global story coherence and a dependency-aware visual consistency mechanism that tracks character and environmental states across temporal boundaries, while VLM-guided agents continuously monitor and refine both narrative coherence and visual fidelity. The framework enables coordinated agent collaboration to generate extended narrative content. This maintains both storytelling integrity and visual coherence across multi-scene timelines.

Related papers

Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation [53.27387848819395]
Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency.<n>We introduce a structured orchestration layer for film-oriented script-to-video generation.
arXiv Detail & Related papers (2026-09-07T16:33:14Z)
Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration [61.98029663481308]
Soap2Soap is a multi-agent framework that enforces long-term visual consistency through a DualBridge mechanism.<n>A closed-loop verification agent audits identity, stability, and alignment to trigger selective regeneration.
arXiv Detail & Related papers (2026-05-17T12:38:21Z)
VideoMemory: Toward Consistent Video Generation via Memory Integration [28.605816634949814]
VideoMemory integrates narrative planning with visual generation through a Dynamic Memory Bank.<n>The Dynamic Memory Bank stores explicit visual and semantic descriptors for characters, props, and backgrounds.<n>This retrieval-update mechanism enables consistent portrayal of entities across distant shots and supports coherent long-form generation.
arXiv Detail & Related papers (2026-01-07T07:10:32Z)
CoAgent: Collaborative Planning and Consistency Agent for Coherent Video Generation [9.91271343855315]
CoAgent is a framework for coherent video generation that formulates the process as a plan-synthesize-verify pipeline.<n>A Storyboard Planner decomposes the input into structured shot-level plans with explicit entities, spatial relations, and temporal cues.<n>A Global Context Manager maintains entity-level memory to preserve appearance and identity consistency across shots.<n>A pacing-aware editor refines temporal rhythm and transitions to match the desired narrative flow.
arXiv Detail & Related papers (2025-12-27T09:38:34Z)
STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives [82.19488717416351]
This paper introduces StoryAnchors, a unified framework for generating high-quality, multi-scene story frames.<n>StoryAnchors employs a bidirectional story generator that integrates both past and future contexts to ensure temporal consistency.<n>It also integrates Multi-Event Story Frame Labeling and Progressive Story Frame Training, enabling the model to capture both overarching narrative flow and event-level dynamics.
arXiv Detail & Related papers (2025-05-13T08:48:10Z)
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration [88.94832383850533]
We propose a multi-agent framework designed for Customized Storytelling Video Generation (CSVG) StoryAgent decomposes CSVG into distinct subtasks assigned to specialized agents, mirroring the professional production process. Specifically, we introduce a customized Image-to-Video (I2V) method, LoRA-BE, to enhance intra-shot temporal consistency. Our contributions include the introduction of StoryAgent, a versatile framework for video generation tasks, and novel techniques for preserving protagonist consistency.
arXiv Detail & Related papers (2024-11-07T18:00:33Z)
MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence [62.72540590546812]
MovieDreamer is a novel hierarchical framework that integrates the strengths of autoregressive models with diffusion-based rendering. We present experiments across various movie genres, demonstrating that our approach achieves superior visual and narrative quality.
arXiv Detail & Related papers (2024-07-23T17:17:05Z)

This list is automatically generated from the titles and abstracts of the papers in this site.