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cs.CV2025
Beyond Boundary Frames: Talking-Head Inbetweening via Context-Aware Motion Modeling
Yuchen Deng, Hai-Tao Zheng, Jie Wang +3
Existing talking-head generation methods primarily target open-ended generation rather than bridging two existing video segments. In this paper, we study talking-head inbetweening,…
cs.IR2025
Multimodal Quantitative Language for Generative Recommendation
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang +4
Generative recommendation has emerged as a promising paradigm aiming at directly generating the identifiers of the target candidates. Most existing methods attempt to leverage prio…