FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision
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Abstract (arXiv)
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 but weak temporal alignment or strong alignment but lack reference audio conditioning and semantic precision. FoleyGenEx fills this gap via three core innovations: a conditional injection mechanism for audio-controlled VTA and Foley extension, a multi-modal dynamic masking strategy preserving training synchronization, and an adverb-based data augmentation algorithm leveraging signal processing and large language models to enhance textual supervision with nuanced semantics. Experiments on AudioCaps, VGGSound, and Greatest Hits demonstrate its competitive controllable VTA performance against existing methods. Demo samples are available at https://foleygenex.github.io/FoleyGenEx.
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References · 36
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24 more
- 2016CNN Architectures for Large-Scale Audio Classificationcited by 701
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- 2025HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation
- 2026MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation
- 2024Video-to-Audio Generation with Fine-grained Temporal Semantics
- 2024FolAI: Synchronized Foley Sound Generation with Semantic and Temporal Alignment
- 2024T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis
- 2025Training-Free Multimodal Guidance for Video to Audio Generation
- 2023Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
- 2025SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos