Although 2D generative models have made great progress in face image generation and animation, they often suffer from undesirable artifacts such as 3D inconsistency when …
Emerging Metaverse applications demand accessible, accurate, and easy-to-use tools for 3D digital human creations in order to depict different cultures and societies as if in the …
A Tewari, M Elgharib, G Bharaj… - Proceedings of the …, 2020 - openaccess.thecvf.com
StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over semantic face parameters …
J Sun, X Wang, Y Zhang, X Li… - Proceedings of the …, 2022 - openaccess.thecvf.com
Previous portrait image generation methods roughly fall into two categories: 2D GANs and 3D-aware GANs. 2D GANs can generate high fidelity portraits but with low view consistency …
Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. 3D face modeling methods provide parametric control but generates …
K Jiang, SY Chen, FL Liu, H Fu, L Gao - SIGGRAPH Asia 2022 …, 2022 - dl.acm.org
Recent methods for synthesizing 3D-aware face images have achieved rapid development thanks to neural radiance fields, allowing for high quality and fast inference speed. However …
Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution, or high-quality ones with no editing …
Abstract 3D-controllable portrait synthesis has significantly advanced, thanks to breakthroughs in generative adversarial networks (GANs). However, it is still challenging to …
A Chen, Z Chen, G Zhang… - Proceedings of the …, 2019 - openaccess.thecvf.com
We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression …