Generating Realistic Training Images Based on Tonality-Alignment
Generative Adversarial Networks for Hand Pose Estimation

Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation

25 November 2018

Yen-Yu Lin

Papers citing "Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation"

4 / 4 papers shown

Title
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks Maksym Ivashechkin Oscar Alejandro Mendez Maldonado Richard Bowden 3DH 34 0 0 08 Apr 2024
TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation Haoyu Ma Liangjian Chen Deying Kong Zhe Wang Xingwei Liu Hao Tang Xiangyi Yan Yusheng Xie Shi-yao Lin Xiaohui Xie ViT 19 61 0 18 Oct 2021
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image Gyeongsik Moon Shoou-I Yu He Wen Takaaki Shiratori Kyoung Mu Lee 3DH 42 280 0 21 Aug 2020
3D Hand Pose Tracking and Estimation Using Stereo Matching Jiawei Zhang Jianbo Jiao Mingliang Chen Liangqiong Qu Xiaobin Xu Qingxiong Yang 174 144 0 23 Oct 2016