NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets

NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets

23 November 2020

Kyoung Mu Lee

Papers citing "NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets"

6 / 6 papers shown

Title
Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes K. Ludwig Julian Lorenz Daniel Kienzle Tuan Bui Rainer Lienhart 3DH 35 1 0 26 Sep 2024
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation Sai Kumar Dwivedi Yu Sun Priyanka Patel Yao Feng Michael J. Black 3DH 37 26 0 25 Apr 2024
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot Fabien Baradel M. Armando Salma Galaaoui Romain Brégier Philippe Weinzaepfel Grégory Rogez Thomas Lucas 3DH 33 18 0 22 Feb 2024
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion Soyong Shin Juyong Kim Eni Halilaj Michael J. Black 3DH 18 66 0 12 Dec 2023
D3L: Decomposition of 3D Rotation and Lift from 2D Joint to 3D for Human Mesh Recovery Xiaoyang Hao Han Li Jun Cheng Shenzhen Institute of Advanced Technology 3DH 19 0 0 10 Jun 2023
Whole-Body Human Pose Estimation in the Wild Sheng Jin Lumin Xu Jin Xu Can Wang Wentao Liu Chao Qian Wanli Ouyang Ping Luo 3DH 130 235 0 23 Jul 2020