Основні поняття
手の事前知識を活用して遮蔽領域を想像するためのHandGCATネットワークを提案します。
Статистика
"Extensive experiments show our framework significantly outperforms state-of-the-art 3D hand mesh re-construction methods."
"HandOccNet achieved a PA-MPJPE of 9.1 and a PA-MPVPE of 8.8, while our method achieved an improved PA-MPJPE of 8.7 and a PA-MPVPE of 8.7."
Цитати
"The main idea of the proposed HandGCAT is to exploit the hand prior knowledge to imagine occluded regions."
"Our method achieves state-of-the-art performance on 3D hand mesh benchmarks that contain severe occlusions."