Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation

Author:

Qin Jiawei1,Shimoyama Takuru1,Sugano Yusuke1

Affiliation:

1. The University of Tokyo,Institute of Industrial Science

Publisher

IEEE

Cited by 9 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. Gaze-Manipulated Data Augmentation for Gaze Estimation With Diffusion Autoencoders;Journal of the Korea Computer Graphics Society;2024-07

2. NERF-GAZE: A Head-Eye Redirection Parametric Model for Gaze Estimation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Angle Range and Identity Similarity Enhanced Gaze and Head Redirection based on Synthetic data;2023 IEEE International Symposium on Multimedia (ISM);2023-12-11

5. Transfer the global knowledge for current gaze estimation;Multimedia Tools and Applications;2023-11-08

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