activity
20162023
most citedLatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

40 citations · 52 across the 11 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Leveraging Intrinsic Properties for Non-Rigid Garment Alignment

Siyou Lin, Boyao Zhou, Zerong Zheng +2

We address the problem of aligning real-world 3D data of garments, which benefits many applications such as texture learning, physical parameter estimation, generative modeling of…

cs.CV2023

AvatarReX: Real-time Expressive Full-body Avatars

Zerong Zheng, Xiaochen Zhao, Hongwen Zhang +2

We present AvatarReX, a new method for learning NeRF-based full-body avatars from video data. The learnt avatar not only provides expressive control of the body, hands and the face…

cs.CV202340 cited

LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

Yuelang Xu, Hongwen Zhang, Lizhen Wang +4

Existing approaches to animatable NeRF-based head avatars are either built upon face templates or use the expression coefficients of templates as the driving signal. Despite the pr…

cs.CV20231 cited

StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video

Lizhen Wang, Xiaochen Zhao, Jingxiang Sun +4

Face reenactment methods attempt to restore and re-animate portrait videos as realistically as possible. Existing methods face a dilemma in quality versus controllability: 2D GAN-b…

cs.CV2023

Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning

Haibiao Xuan, Xiongzheng Li, Jinsong Zhang +3

Naturally controllable human-scene interaction (HSI) generation has an important role in various fields, such as VR/AR content creation and human-centered AI. However, existing met…