30 citations · 30 across the 1 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
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…