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FoleyGenEx framework unifies video-to-audio generation with advanced controls

Researchers have introduced FoleyGenEx, a novel framework for unified video-to-audio generation that addresses limitations in existing methods. FoleyGenEx integrates multi-modal control, frame-level temporal alignment, and semantic precision to enable synchronized and versatile audio synthesis. Key innovations include a conditional injection mechanism, a multi-modal dynamic masking strategy, and an adverb-based data augmentation algorithm that enhances textual supervision with nuanced semantics. Experiments on datasets like AudioCaps and VGGSound show FoleyGenEx achieves competitive performance in controllable video-to-audio generation. AI

IMPACT Enhances synchronized audio synthesis for diverse tasks, potentially improving multimedia content creation and analysis.

RANK_REASON The cluster contains a research paper detailing a new framework for video-to-audio generation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

FoleyGenEx framework unifies video-to-audio generation with advanced controls

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The cluster contains a research paper detailing a new framework for video-to-audio generation.
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87 days old
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Shiyao Wang, Xijuan Zeng, Hui Wang, Shiwan Zhao, Feng Deng, Chen Zhang, Yong Qin ·

    FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision

    arXiv:2606.14049v1 Announce Type: cross Abstract: We present FoleyGenEx, a unified video-to-audio (VTA) framework integrating multi-modal control, frame-level temporal alignment, and fine-grained semantics, enabling synchronized, versatile audio synthesis for diverse tasks. Exist…

  2. arXiv cs.CV TIER_1 English(EN) · Yong Qin ·

    FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision

    We present FoleyGenEx, a unified video-to-audio (VTA) framework integrating multi-modal control, frame-level temporal alignment, and fine-grained semantics, enabling synchronized, versatile audio synthesis for diverse tasks. Existing VTA methods either have multi-modal control bu…