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Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation., , , , , , , and . CoRR, (2018)MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation., , , , and . CoRR, (2020)Deep Learning in 3D Hand Pose and Mesh Estimation.. University of California, Irvine, USA, (2020)TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation., , , , , , , , , and . BMVC, page 336. BMVA Press, (2021)Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos., , , , and . CoRR, (2020)MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation., , , , and . WACV, page 836-845. IEEE, (2021)TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic Hand Pose Synthesis., , , , , , , and . BMVC, page 116. BMVA Press, (2019)Extending Context Window of Large Language Models via Positional Interpolation., , , and . CoRR, (2023)DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation., , , , , and . CoRR, (2020)A Mobile Phone Data Visualization Tool for People Flow Analysis., , , , and . APWeb/WAIM (2), volume 11642 of Lecture Notes in Computer Science, page 407-411. Springer, (2019)