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LiveFoley streams video-to-audio with look-ahead below perception

Original title: LiveFoley: Dynamic Real-Time Video-to-Audio Generation for Immersive Interactive Worlds

Hugging Face daily papersby Yusheng Dai, Vladimir Iashin, Kangdi Wang ()1 min read1
AI summary · x-ai/grok-4.7Summaries by Vani AI

A trailing window and wider local diffusion keep alignment with offline models while cutting frontend latency.

LiveFoley is a streaming causal autoregressive diffusion system for real-time video-to-audio. A Trailing Sliding Window turns non-causal segment encoders into streaming modules without retraining, and a configurable hop size cuts frontend look-ahead below the human perceptual threshold. History LocDiT adds past context at no extra latency; Future-Warmup LocDiT can trade a small backend look-ahead for higher quality. The authors report matching offline temporal alignment and leading other streaming systems in generation quality.

Key facts
  • The Unified Varhop Framework tunes hop size for different latency and compute budgets.
  • History LocDiT is the default audio backend and adds past context at no latency cost.
  • Future-Warmup LocDiT uses an approximate future condition and accepts backend look-ahead.
  • A project page is at dalision.github.io/livefoley-page.
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From the original article

1 min read at huggingface.co

Streaming video-to-audio (V2A) generation is essential for immersive interactive applications. However, real-time constraints leave existing streaming V2A methods far behind offline models: (1) visual frontends shrink their receptive fields to cut look-ahead latency, severely degrading audio-visual alignment; (2) causal autoregressive diffusion backends denoise each audio patch in isolation, impairing audio quality.

Hugging Face daily papers

By Yusheng Dai, Vladimir Iashin, Kangdi Wang · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.