activity
20182021
most citedModeling Clothing as a Separate Layer for an Animatable Human Avatar

63 citations · 76 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV202163 cited

Modeling Clothing as a Separate Layer for an Animatable Human Avatar

Donglai Xiang, Fabian Prada, Timur Bagautdinov +5

We have recently seen great progress in building photorealistic animatable full-body codec avatars, but generating high-fidelity animation of clothing is still difficult. To addres…

cs.CV2021

Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation

Taosha Fan, Kalyan Vasudev Alwala, Donglai Xiang +3

We propose a novel sparse constrained formulation and from it derive a real-time optimization method for 3D human pose and shape estimation. Our optimization method, SCOPE (Sparse…

cs.CV2020

MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video

Donglai Xiang, Fabian Prada, Chenglei Wu +1

We present a method to capture temporally coherent dynamic clothing deformation from a monocular RGB video input. In contrast to the existing literature, our method does not requir…

cs.CV201913 cited

Single-Network Whole-Body Pose Estimation

Gines Hidalgo, Yaadhav Raaj, Haroon Idrees +4

We present the first single-network approach for 2D~whole-body pose estimation, which entails simultaneous localization of body, face, hands, and feet keypoints. Due to the bottom-…

cs.CV2019

You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions

Evonne Ng, Donglai Xiang, Hanbyul Joo +1

The body pose of a person wearing a camera is of great interest for applications in augmented reality, healthcare, and robotics, yet much of the person's body is out of view for a…

cs.CV2018

Monocular Total Capture: Posing Face, Body, and Hands in the Wild

Donglai Xiang, Hanbyul Joo, Yaser Sheikh

We present the first method to capture the 3D total motion of a target person from a monocular view input. Given an image or a monocular video, our method reconstructs the motion f…