84 citations · 114 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Collaborative Regression of Expressive Bodies using Moderation
Yao Feng, Vasileios Choutas, Timo Bolkart +2
Recovering expressive humans from images is essential for understanding human behavior. Methods that estimate 3D bodies, faces, or hands have progressed significantly, yet separate…
cs.CV2019★ 30 cited
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
Pengfei Yao, Zheng Fang, Fan Wu +2
Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data. Previous met…
cs.CV2018★ 84 cited
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
Yao Feng, Fan Wu, Xiaohu Shao +2
We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment. To achieve this, we design a 2D representation called UV…