no code implementations • 18 Mar 2024 • Yushi Lan, Fangzhou Hong, Shuai Yang, Shangchen Zhou, Xuyi Meng, Bo Dai, Xingang Pan, Chen Change Loy
The latent is decoded by a transformer-based decoder into a high-capacity 3D neural field.
no code implementations • 16 Dec 2023 • Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, Jing Dong
Therefore, we are inspired to ask: Can we learn the dense correspondence between different NeRF-based face representations without a 3D parametric model prior?
no code implementations • 5 Dec 2023 • Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas Funkhouser, Chen Change Loy, yinda zhang
We present a novel framework for generating photorealistic 3D human head and subsequently manipulating and reposing them with remarkable flexibility.
1 code implementation • 8 Sep 2023 • Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy
In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and texture.
no code implementations • ICCV 2023 • Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy
In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and texture.
no code implementations • 19 Dec 2022 • Yushi Lan, Chen Change Loy, Bo Dai
The neural radiance field (NeRF) has shown promising results in preserving the fine details of objects and scenes.
no code implementations • CVPR 2023 • Yushi Lan, Xuyi Meng, Shuai Yang, Chen Change Loy, Bo Dai
In this paper, we study the challenging problem of 3D GAN inversion where a latent code is predicted given a single face image to faithfully recover its 3D shapes and detailed textures.
1 code implementation • 10 Oct 2022 • Fangzhou Hong, Zhaoxi Chen, Yushi Lan, Liang Pan, Ziwei Liu
At the core of EVA3D is a compositional human NeRF representation, which divides the human body into local parts.
1 code implementation • 25 Feb 2020 • Yushi Lan, Yu-An Liu, Maoqing Tian, Xinchi Zhou, Xuesen Zhang, Shuai Yi, Hongsheng Li
Meanwhile, we introduce "Semantic Fusion Branch" to filter out irrelevant noises by selectively fusing semantic region information sequentially.
no code implementations • 22 Feb 2020 • Tingting Zhang, Yushi Lan, Aiguo Song, Kun Liu, Nan Wang
The network information system is a military information network system with evolution characteristics.