pith:UMFKTNZT
V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation
Event curves from intra-modal similarities enable zero-pair training for time-aligned video-to-music generation.
arxiv:2603.11042 v2 · 2026-03-11 · cs.CV · cs.AI · cs.LG · cs.MM · cs.SD
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Claims
Our results validate that temporal alignment through within-modality features is not only effective for video-to-music generation but also leads to better performance than paired cross-modal supervision.
The assumption that event curves computed from intra-modal similarity using pretrained encoders provide comparable representations across modalities that enable direct substitution at inference without cross-modal training.
V2M-Zero achieves state-of-the-art video-to-music generation with improved temporal synchronization and semantic alignment by substituting video event curves into a fine-tuned text-to-music model without any paired training data.
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| First computed | 2026-05-17T23:39:15.821418Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Canonical record JSON
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