Structured Stateful Relational Scripts with a High-Quality Dataset for Multi-Shot Audio-Visual Video Generation
cs.CV
Submitted: 2026-10-11
Updated: 2026-10-11
Code: https://github.com/LAION-AI/aesthetic-predictor
Project page: https://chenzhaonju.github.io/msav-script/ABSTRACT
Sources
- CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation
- LTX-2: Efficient Joint Audio-Visual Foundation Model
- UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating
- Synchformer: Efficient Synchronization from Sparse Cues
- MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
- HunyuanVideo: A Systematic Framework For Large Video Generative Models
- JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
- Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation
- Does FLUX Already Know How to Perform Physically Plausible Image Composition?
- LongCat-Video Technical Report
- Movie Gen: A Cast of Media Foundation Models
- HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation
- MOVA: Towards Scalable and Synchronized Video-Audio Generation
- TransNet V2: An effective deep network architecture for fast shot transition detection
- video-SALMONN 2: Caption-Enhanced Audio-Visual Large Language Models
- Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
- Wan: Open and Advanced Large-Scale Video Generative Models
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
- Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding
- Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
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