학술논문
Shape Preservation in Image Style Transfer for Gaze Estimation
Document Type
Conference
Source
2023 18th International Conference on Machine Vision and Applications (MVA) Machine Vision and Applications (MVA), 2023 18th International Conference on. :1-5 Jul, 2023
Subject
Language
Abstract
This paper proposes image style transfer with shape preservation for gaze estimation. While several shape preservation constraints are proposed, we present additional shape preservation constraints using (i) dense pixelwise correspondences between the original and its transferred images and (ii) task-driven learning using gaze estimation error for directly improving gaze direction estimation. A variety of experiments with other SOTA methods, publicly-available datasets, and ablation studies validate the effectiveness of our method.