FitMe: Deep Photorealistic 3D Morphable Model Avatars-Reference-Cited by-同舟云学术

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FitMe: Deep Photorealistic 3D Morphable Model Avatars

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Lattas Alexandros¹,Moschoglou Stylianos¹,Ploumpis Stylianos¹,Gecer Baris¹,Deng Jiankang¹,Zafeiriou Stefanos¹

Affiliation:

1. Imperial College London,UK

Funder

EPSRC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204533.pdf?arnumber=10204533

Reference72 articles.

1. Acquiring the reflectance field of a human face

2. Single-shot high-quality facial geometry and skin appearance capture

3. Photo-Realistic Facial Details Synthesis From Single Image

4. ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GANtlitz: Ultra High Resolution Generative Model for Multi‐Modal Face Textures;Computer Graphics Forum;2024-04-24

2. MUNCH: Modelling Unique 'N Controllable Heads;ACM SIGGRAPH Conference on Motion, Interaction and Games;2023-11-15

3. Relightify: Relightable 3D Faces from a Single Image via Diffusion Models;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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