activity
20152026
most citedModeling Clothing as a Separate Layer for an Animatable Human Avatar

63 citations · 221 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

10 papers · 1 filter

cs.CV2023

Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration

Jingfan Guo, Fabian Prada, Donglai Xiang +5

Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world…

cs.CV2022★ 7 cited

Garment Avatars: Realistic Cloth Driving using Pattern Registration

Oshri Halimi, Fabian Prada, Tuur Stuyck +7

Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes i…

cs.CV2021★ 63 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★ 4 cited

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.CV2019★ 13 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★ 25 cited

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…

cs.CV2017★ 4 cited

Surface Normals in the Wild

Weifeng Chen, Donglai Xiang, Jia Deng

We study the problem of single-image depth estimation for images in the wild. We collect human annotated surface normals and use them to train a neural network that directly predic…

cs.CV2015★ 30 cited

Semantic Object Parsing with Local-Global Long Short-Term Memory

Xiaodan Liang, Xiaohui Shen, Donglai Xiang +3

Semantic object parsing is a fundamental task for understanding objects in detail in computer vision community, where incorporating multi-level contextual information is critical f…