Cuican Yu — accepted AI-conference papers

2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li +4

ICCV 2023poster

Generating 3D faces from textual descriptions has a multitude of applications, such as gaming, movie and robotics. Recent progresses have demonstrated the success of unconditional 3D face generation and text-to-3D shape generation. However, due to the limited text-3D face data pairs, text-driven 3D…

Cited by 18 PDF ↗code ↗Scholar ↗

2021

Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition

Zihui Zhang, Cuican Yu, Shuang Xu, Huibin Li

AAAI 2021technical

Due to the superiority of using geometric information, 3D Face Recognition (FR) has achieved great successes. Existing methods focus on high-quality 3D FR which is unpractical in real scenarios. Low-quality 3D FR is a more realistic scenario but the low-quality data are born with heavy noises. There…

Cited by 16 Source ↗PDF ↗Scholar ↗