FoleyDesigner generates spatio-temporally aligned stereo Foley audio for film clips via multi-agent analysis, diffusion models on video cues, and LLM mixing, supported by the new FilmStereo dataset.
Omniaudio: Generating spatial audio from 360-degree video
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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StereoFoley is an end-to-end video-to-stereo-audio framework that uses a base generative model fine-tuned on synthetic object-tracked data with panning and distance controls to achieve object-aware spatial sound.
SwanSphere introduces a causal autoregressive diffusion transformer architecture with SVAC contrastive learning and ODPO optimization for streaming spatial audio generation from video and text.
citing papers explorer
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FoleyDesigner: Immersive Stereo Foley Generation with Precise Spatio-Temporal Alignment for Film Clips
FoleyDesigner generates spatio-temporally aligned stereo Foley audio for film clips via multi-agent analysis, diffusion models on video cues, and LLM mixing, supported by the new FilmStereo dataset.
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StereoFoley: Object-Aware Stereo Audio Generation from Video
StereoFoley is an end-to-end video-to-stereo-audio framework that uses a base generative model fine-tuned on synthetic object-tracked data with panning and distance controls to achieve object-aware spatial sound.
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Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer
SwanSphere introduces a causal autoregressive diffusion transformer architecture with SVAC contrastive learning and ODPO optimization for streaming spatial audio generation from video and text.