Learning to Train with Synthetic Humans

Learning to Train with Synthetic Humans

2 August 2019

David T. Hoffmann

Dimitrios Tzionas

Siyu Tang

Papers citing "Learning to Train with Synthetic Humans"

9 / 9 papers shown

Title
Human Pose Estimation in Monocular Omnidirectional Top-View Images Jingrui Yu Tobias Scheck Roman Seidel Yukti Adya Dipankar Nandi G. Hirtz 30 3 0 17 Apr 2023
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation Wenhao Chai Zhongyu Jiang Jenq-Neng Hwang Gaoang Wang 3DH 22 22 0 29 Mar 2023
3D Segmentation of Humans in Point Clouds with Synthetic Data Ayca Takmaz Jonas Schult Irem Kaftan Mertcan Akccay Bastian Leibe R. Sumner Francis Engelmann Siyu Tang 3DH 14 23 0 01 Dec 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 35 46 0 19 Aug 2022
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture Hiroyasu Akada Jian Wang Soshi Shimada Masaki Takahashi Christian Theobalt Vladislav Golyanik EgoV 48 44 0 02 Aug 2022
AGORA: Avatars in Geography Optimized for Regression Analysis Priyanka Patel C. Huang J. Tesch David T. Hoffmann Shashank Tripathi Michael J. Black 24 204 0 29 Apr 2021
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild Zhe Zhang Chunyu Wang Weichao Qiu Wenhu Qin Wenjun Zeng 3DH 24 87 0 26 Oct 2020
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding Igor Kviatkovsky Nadav Bhonker Gérard Medioni 33 3 0 03 Jun 2020
Synthetic Humans for Action Recognition from Unseen Viewpoints Gül Varol Ivan Laptev Cordelia Schmid Andrew Zisserman 25 96 0 09 Dec 2019