A survey on GAN-based data augmentation for hand pose estimation problem

F Farahanipad, M Rezaei, MS Nasr, F Kamangar… - Technologies, 2022‏ - mdpi.com
Deep learning solutions for hand pose estimation are now very reliant on comprehensive
datasets covering diverse camera perspectives, lighting conditions, shapes, and pose …

Efficient annotation and learning for 3d hand pose estimation: A survey

T Ohkawa, R Furuta, Y Sato - International Journal of Computer Vision, 2023‏ - Springer
In this survey, we present a systematic review of 3D hand pose estimation from the
perspective of efficient annotation and learning. 3D hand pose estimation has been an …

Understanding atomic hand-object interaction with human intention

H Fan, T Zhuo, X Yu, Y Yang… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
Hand-object interaction plays a very important role when humans manipulate objects. While
existing methods focus on improving hand-object recognition with fully automatic methods …

A dual-branch self-boosting framework for self-supervised 3D hand pose estimation

P Ren, H Sun, J Hao, Q Qi, J Wang… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Although 3D hand pose estimation has made significant progress in recent years with the
development of the deep neural network, most learning-based methods require a large …

3d reconstruction of sculptures from single images via unsupervised domain adaptation on implicit models

Z Chang, GA Koulieris, HPH Shum - … of the 28th ACM symposium on …, 2022‏ - dl.acm.org
Acquiring the virtual equivalent of exhibits, such as sculptures, in virtual reality (VR)
museums, can be labour-intensive and sometimes infeasible. Deep learning based 3D …

GAN-Based Domain Translation for Hand Pose Estimation and Face Reconstruction

F Farahanipad - 2022‏ - search.proquest.com
Deep learning solutions for hand pose estimation are now very reliant on comprehensive
datasets covering diverse camera perspectives, lighting conditions, shapes, and pose …