[HTML][HTML] Talking human face generation: A survey

M Toshpulatov, W Lee, S Lee - Expert Systems with Applications, 2023‏ - Elsevier
Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …

Dreamface: Progressive generation of animatable 3d faces under text guidance

L Zhang, Q Qiu, H Lin, Q Zhang, C Shi, W Yang… - arxiv preprint arxiv …, 2023‏ - arxiv.org
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 …

3D statistical head modeling for face/head-related product design: a state-of-the-art review

J Zhang, Y Luximon, P Shah, P Li - Computer-Aided Design, 2023‏ - Elsevier
In the field of face/head-related product design, 3D statistical models (3DSMs) of human
heads and faces are widely used to model geometric variations, generate representative …

AvatarMe: Realistically Renderable 3D Facial Reconstruction" in-the-wild"

A Lattas, S Moschoglou, B Gecer… - Proceedings of the …, 2020‏ - openaccess.thecvf.com
Over the last years, with the advent of Generative Adversarial Networks (GANs), many face
analysis tasks have accomplished astounding performance, with applications including, but …

3d morphable face models—past, present, and future

B Egger, WAP Smith, A Tewari, S Wuhrer… - ACM Transactions on …, 2020‏ - dl.acm.org
In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

Clipface: Text-guided editing of textured 3d morphable models

S Aneja, J Thies, A Dai, M Nießner - ACM SIGGRAPH 2023 Conference …, 2023‏ - dl.acm.org
We propose ClipFace, a novel self-supervised approach for text-guided editing of textured
3D morphable model of faces. Specifically, we employ user-friendly language prompts to …

Agilegan: stylizing portraits by inversion-consistent transfer learning

G Song, L Luo, J Liu, WC Ma, C Lai, C Zheng… - ACM Transactions on …, 2021‏ - dl.acm.org
Portraiture as an art form has evolved from realistic depiction into a plethora of creative
styles. While substantial progress has been made in automated stylization, generating high …

Fitme: Deep photorealistic 3d morphable model avatars

A Lattas, S Moschoglou, S Ploumpis… - Proceedings of the …, 2023‏ - openaccess.thecvf.com
In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

High-fidelity 3D face generation from natural language descriptions

M Wu, H Zhu, L Huang, Y Zhuang… - Proceedings of the …, 2023‏ - openaccess.thecvf.com
Synthesizing high-quality 3D face models from natural language descriptions is very
valuable for many applications, including avatar creation, virtual reality, and telepresence …

UV-IDM: identity-conditioned latent diffusion model for face UV-texture generation

H Li, Y Feng, S Xue, X Liu, B Zeng… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
Abstract 3D face reconstruction aims at generating high-fidelity 3D face shapes and textures
from single-view or multi-view images. However current prevailing facial texture generation …