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...
| Authors | Gyubin Lee, Junwon Lee, Juhan Nam |
|---|---|
| Primary category | cs.MM |
| Published | 18 May 2026 |
| Last updated at source | 25 May 2026 |
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