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cs.CV2024
Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer
Yu Deng, Duomin Wang, Baoyuan Wang
In this paper, we propose a novel learning approach for feed-forward one-shot 4D head avatar synthesis. Different from existing methods that often learn from reconstructing monocul…
cs.CV2023
AgentAvatar: Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents
Duomin Wang, Bin Dai, Yu Deng +1
In this study, our goal is to create interactive avatar agents that can autonomously plan and animate nuanced facial movements realistically, from both visual and behavioral perspe…
cs.CV2023
Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
Yu Deng, Duomin Wang, Xiaohang Ren +2
Existing one-shot 4D head synthesis methods usually learn from monocular videos with the aid of 3DMM reconstruction, yet the latter is evenly challenging which restricts them from…