GraphMDN: Leveraging graph structure and deep learning to solve inverse problems

26 October 2020

Papers citing "GraphMDN: Leveraging graph structure and deep learning to solve inverse problems"

9 / 9 papers shown

Title
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction Shizhe Yuan Li Zhou 3DH 43 5 0 11 Nov 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation Paweł Antoni Pierzchlewicz Caio da Silva R. J. Cotton Fabian H. Sinz 30 0 0 10 Mar 2024
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models Karl Holmquist Bastian Wandt DiffM 17 63 0 29 Nov 2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions Paweł Antoni Pierzchlewicz R. J. Cotton Mohammad Ali Bashiri Fabian H. Sinz 3DH 21 8 0 20 Oct 2022
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation Wenhao Li Hong Liu H. Tang Pichao Wang Luc Van Gool ViT 32 246 0 24 Nov 2021
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 28 58 0 03 Oct 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 28 118 0 29 Jul 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016