AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation
Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Alper Canberk, Kwot Sin Lee, Vicente Ordonez, Sergey Tulyakov
摘要
We propose AV-Link, a unified framework for Video-to-Audio (A2V) and Audio-to-Video (A2V) generation that leverages the activations of frozen video and audio diffusion models for temporally-aligned cross-modal conditioning. The key to our framework is a Fusion Block that facilitates bidirectional information exchange between video and audio diffusion models through temporally-aligned self attention operations. Unlike prior work that uses dedicated models for A2V and V2A tasks and relies on pretrained feature extractors, AV-Link achieves both tasks in a single self-contained framework, directly leveraging features obtained by the complementary modality (i.e. video features to generate audio, or audio features to generate video). Extensive automatic and subjective evaluations demonstrate that our method achieves a substantial improvement in audio-video synchronization, outperforming more expensive baselines such as the MovieGen video-to-audio model.
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引用它的顶会 Paper9
- UniAVGen: Unified Audio and Video Generation with Asymmetric Cross-Modal InteractionsGuozhen Zhang, Zixiang Zhou, Teng Hu, Ziqiao Peng 等CVPR 2026 · 被引用 40 次
- Harmony: Harmonizing Audio and Video Generation through Cross-Task SynergyTeng Hu, Zhentao Yu, Guozhen Zhang, Zihan Su 等CVPR 2026 · 被引用 21 次
- Improving Progressive Generation with Decomposable Flow MatchingMoayed Haji-Ali, Willi Menapace, Ivan Skorokhodov, Arpit Sahni 等NeurIPS 2025 · 被引用 7 次
- One Model, Many Budgets: Elastic Latent Interfaces for Diffusion TransformersMoayed Haji Ali, Willi Menapace, Ivan Skorokhodov, Dogyun Park 等CVPR 2026 · 被引用 4 次
- Benchmarking Single-Factor Physical Video-to-Audio GenerationTingle Li, Siddharth Gururani, Kevin Shih, Gantavya Bhatt 等CVPR 2026 · 被引用 2 次
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