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This work presents the VOR Dataset (VORD), the first benchmark dataset providing both paired edited videos and graffiti masks, and introduces VOR-MDSM, the first perception-driven VLM-based scoring model specifically designed for mask-guided VOR.
OmniMate, a unified framework for open-ended real-time interactive audio-visual avatar generation and a Multi-Reference Conditioning Module (MRCM), which leverages multiple reference images and a reference speech segment to provide persistent visual and speaker identity cues throughout long-duration streaming interacti...
Ripple is a real-time joint audio-video generation system with a cross-modal recurrent memory mechanism that combines a fixed-length sliding-window attention with modality-specific memory states that continuously summarize audio and video context.
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