2 citations · 2 across the 12 of their papers we have counts for
4 papers · 1 filter
AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path
Zhengyang Yu, Akio Hayakawa, Masato Ishii +4
Autoregressive video diffusion models (AR-VDMs) show strong promise as scalable alternatives to bidirectional VDMs, enabling real-time and interactive applications. Yet there remai…
Schrodinger Audio-Visual Editor: Object-Level Audiovisual Removal
Weihan Xu, Kan Jen Cheng, Koichi Saito +10
Joint editing of audio and visual content is crucial for precise and controllable content creation. This new task poses challenges due to the limitations of paired audio-visual dat…
Coherent Audio-Visual Editing via Conditional Audio Generation Following Video Edits
Masato Ishii, Akio Hayakawa, Takashi Shibuya +1
We introduce a novel pipeline for joint audio-visual editing that enhances the coherence between edited video and its accompanying audio. Our approach first applies state-of-the-ar…
StereoSync: Spatially-Aware Stereo Audio Generation from Video
Christian Marinoni, Riccardo Fosco Gramaccioni, Kazuki Shimada +3
Although audio generation has been widely studied over recent years, video-aligned audio generation still remains a relatively unexplored frontier. To address this gap, we introduc…