Chained Representation Cycling: Learning to Estimate 3D Human Pose and
Shape by Cycling Between Representations

Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations

6 January 2020

Christoph Lassner

Michael J. Black

Konrad Schindler

Papers citing "Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations"

4 / 4 papers shown

Title
Everybody Is Unique: Towards Unbiased Human Mesh Recovery Ren Li Meng Zheng Srikrishna Karanam Terrence Chen Ziyan Wu 3DH 16 12 0 13 Jul 2021
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop Hongwen Zhang Yating Tian Xinchi Zhou Wanli Ouyang Yebin Liu Limin Wang Zhenan Sun 3DH 20 297 0 30 Mar 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction Shanyan Guan Jingwei Xu Yunbo Wang Bingbing Ni Xiaokang Yang 3DH 25 50 0 30 Mar 2021
Monocular Expressive Body Regression through Body-Driven Attention Vasileios Choutas Georgios Pavlakos Timo Bolkart Dimitrios Tzionas Michael J. Black 3DH CVBM 21 233 0 20 Aug 2020