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Paper · arXiv

CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley Generation

We investigate Counterfactual Video Foley Generation, which aims to adopt a sound-source identity that contradicts the visual evidence while remaining temporally synchronized to a silent video. Existing Video&Text-to-Audio (VT2A) models struggle with this, often remaining anchored to the visually implied sound source when video and text contents disagree. We present ConterFlow, an inference-time dual-phase sampling scheme for pretrained flow-matching VT2A models. Phase 1 builds a video-derived temporal structure while suppressing the visually implied source; Phase 2 drops video conditioning to focus entirely on shaping audio timbre toward the target prompt. ConterFlow substantially improv...

AuthorsGyubin Lee, Junwon Lee, Juhan Nam
Primary categorycs.MM
Published18 May 2026
Last updated at source25 May 2026
cs.MMcs.AIcs.CVcs.SDeess.AS
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