Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images-Reference-Cited by-同舟云学术

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

Published:2023-10-01 Issue: Volume:34 Page:15280-15291
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Yu Cuican¹,Lu Guansong²,Zeng Yihan²,Sun Jian¹,Liang Xiaodan³,Li Huibin¹,Xu Zongben¹,Xu Songcen²,Zhang Wei²,Xu Hang²

Affiliation:

1. Xi’an Jiaotong University

2. Huawei Noah’s Ark Lab

3. Sun Yat-sen University

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377739.pdf?arnumber=10377739

Reference64 articles.

1. ClipFace: Text-guided Editing of Textured 3D Morphable Models

2. RigNeRF: Fully Controllable Neural 3D Portraits

3. Text and Image Guided 3D Avatar Generation and Manipulation

4. Efficient Geometry-aware 3D Generative Adversarial Networks

5. pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

Cited by 2 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. Enhancing accuracy, diversity, and random input compatibility in face attribute manipulation;Engineering Applications of Artificial Intelligence;2024-08

2. HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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