Memory-Guided B-Roll Generation from User Video Collections

arXiv:2610.01884 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/HKUDS/ViMax

Project page: https://cusuh.github.io/MemComposer

Terminology

• Alignment — 19× in this paper · explained in 1 episode
• Consistency — 14× in this paper · explained in 3 episodes
• Fidelity — 11× in this paper · explained in 2 episodes
• Prompt Adherence — 11× in this paper · explained in 2 episodes
• Embeddings — 9× in this paper · explained in 2 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• RAG — 6× in this paper · explained in 3 episodes
• Clustering — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Generative Models — 3× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Actionability — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
• Lights, Camera, Consistency: A Multistage Pipeline for Character-Stable AI Video Stories
• CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding
• StoryMem: Multi-shot Long Video Storytelling with Memory
• MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence
• VideoMemory: Toward Consistent Video Generation via Memory Integration

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models