Image-to-Image Translation With Disentangled Latent Vectors for Face Editing-Reference-Cited by-同舟云学术

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Image-to-Image Translation With Disentangled Latent Vectors for Face Editing

Published:2023-12 Issue:12 Volume:45 Page:14777-14788
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Dalva Yusuf¹^ORCID,Pehlivan Hamza²,Hatipoglu Oyku Irmak³,Moran Cansu⁴^ORCID,Dundar Aysegul⁵^ORCID

Affiliation:

1. Department of Computer Science, Virginia Tech, Blacksburg, VA, USA

2. MPI, Munich, Germany

3. ETH Zurich, Zurich, Switzerland

4. Technical University of Munich, Munchen, Germany

5. Department of Computer Science, Bilkent University, Ankara, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10229229.pdf?arnumber=10229229

Reference38 articles.

1. A Style-Based Generator Architecture for Generative Adversarial Networks

2. Dual Contrastive Loss and Attention for GANs

3. CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

4. Diverse inpainting and editing with GAN inversion;yildirim,2023

5. Diverse Image-to-Image Translation via Disentangled Representations

Cited by 4 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. HyperplaneGAN: a unified consistent translation framework for facial attribute editing;Multimedia Tools and Applications;2024-08-22

2. Pivotal Tuning Editing: Towards Disentangled Wrinkle Editing with GANs;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

3. Face attribute translation with multiple feature perceptual reconstruction assisted by style translator;Computer Animation and Virtual Worlds;2024-05

4. Unsupervised image-to-image translation with multiscale attention generative adversarial network;Applied Intelligence;2024-04

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