Every Smile is Unique: Landmark-Guided Diverse Smile Generation-Reference-Cited by-同舟云学术

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Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Author:

Wang Wei,Alameda-Pineda Xavier,Xu Dan,Fua Pascal,Ricci Elisa,Sebe Nicu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8576498/8578098/08578838.pdf?arnumber=8578838

Cited by 33 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. Facial Prior Guided Micro-Expression Generation;IEEE Transactions on Image Processing;2024

2. Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition;IEEE Transactions on Multimedia;2024

3. Improving Efficiency in Facial Recognition Tasks Through a Dataset Optimization Approach;IEEE Access;2024

4. Multi Task-Based Facial Expression Synthesis with Supervision Learning and Feature Disentanglement of Image Style;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

5. Conditional Temporal Variational AutoEncoder for Action Video Prediction;International Journal of Computer Vision;2023-06-18

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