1 citations · 1 across the 6 of their papers we have counts for
6 papers
PartNerFace: Part-based Neural Radiance Fields for Animatable Facial Avatar Reconstruction
Xianggang Yu, Lingteng Qiu, Xiaohang Ren +4
We present PartNerFace, a part-based neural radiance fields approach, for reconstructing animatable facial avatar from monocular RGB videos. Existing solutions either simply condit…
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…
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
Shuliang Ning, Duomin Wang, Yipeng Qin +3
In this paper, we propose a novel virtual try-on from unconstrained designs (ucVTON) task to enable photorealistic synthesis of personalized composite clothing on input human image…
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…
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…
HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
Xihe Yang, Xingyu Chen, Daiheng Gao +3
As for human avatar reconstruction, contemporary techniques commonly necessitate the acquisition of costly data and struggle to achieve satisfactory results from a small number of…