Search Results for author: Youngju Na

Found 3 papers, 3 papers with code

UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets

1 code implementation8 Mar 2024 Youngju Na, Woo Jae Kim, Kyu Beom Han, Suhyeon Ha, Sung-Eui Yoon

Generalizable neural implicit surface reconstruction aims to obtain an accurate underlying geometry given a limited number of multi-view images from unseen scenes.

Surface Reconstruction

LatentGaze: Cross-Domain Gaze Estimation through Gaze-Aware Analytic Latent Code Manipulation

1 code implementation21 Sep 2022 Isack Lee, Jun-Seok Yun, Hee Hyeon Kim, Youngju Na, Seok Bong Yoo

Although recent gaze estimation methods lay great emphasis on attentively extracting gaze-relevant features from facial or eye images, how to define features that include gaze-relevant components has been ambiguous.

Disentanglement Gaze Estimation +1

HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images

1 code implementation21 Sep 2022 Jun-Seok Yun, Youngju Na, Hee Hyeon Kim, Hyung-Il Kim, Seok Bong Yoo

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.

Gaze Estimation Super-Resolution

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