Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wang, Duotun"'
Autor:
Shao, Zhijing, Wang, Duotun, Tian, Qing-Yao, Yang, Yao-Dong, Meng, Hengyu, Cai, Zeyu, Dong, Bo, Zhang, Yu, Zhang, Kang, Wang, Zeyu
Although neural rendering has made significant advancements in creating lifelike, animatable full-body and head avatars, incorporating detailed expressions into full-body avatars remains largely unexplored. We present DEGAS, the first 3D Gaussian Spl
Externí odkaz:
http://arxiv.org/abs/2408.10588
Autor:
Wang, Duotun, Meng, Hengyu, Cai, Zeyu, Shao, Zhijing, Liu, Qianxi, Wang, Lin, Fan, Mingming, Zhan, Xiaohang, Wang, Zeyu
We present HeadEvolver, a novel framework to generate stylized head avatars from text guidance. HeadEvolver uses locally learnable mesh deformation from a template head mesh, producing high-quality digital assets for detail-preserving editing and ani
Externí odkaz:
http://arxiv.org/abs/2403.09326
Autor:
Shao, Zhijing, Wang, Zhaolong, Li, Zhuang, Wang, Duotun, Lin, Xiangru, Zhang, Yu, Fan, Mingming, Wang, Zeyu
We present SplattingAvatar, a hybrid 3D representation of photorealistic human avatars with Gaussian Splatting embedded on a triangle mesh, which renders over 300 FPS on a modern GPU and 30 FPS on a mobile device. We disentangle the motion and appear
Externí odkaz:
http://arxiv.org/abs/2403.05087
We present the result of a pilot study measuring child engagement with the Lets Make A Story system, a novel mixed reality, MR, collaborative storytelling system designed for grandparents and grandchildren. We compare our MR experience against an equ
Externí odkaz:
http://arxiv.org/abs/2104.06536