Web: http://arxiv.org/abs/2209.10167

Sept. 22, 2022, 1:14 a.m. | Jun-Seok Yun, Youngju Na, Hee Hyeon Kim, Hyung-Il Kim, Seok Bong Yoo

cs.CV updates on arXiv.org arxiv.org

Although gaze estimation methods have been developed with deep learning
techniques, there has been no such approach as aim to attain accurate
performance in low-resolution face images with a pixel width of 50 pixels or
less. To solve a limitation under the challenging low-resolution conditions, we
propose a high-frequency attentive super-resolved gaze estimation network,
i.e., HAZE-Net. Our network improves the resolution of the input image and
enhances the eye features and those boundaries via a proposed super-resolution
module based on …

arxiv face images

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