63 citations · 221 across the 13 of their papers we have counts for
13 papers
How to Build Digital Humans? From Priors to Photorealistic Avatars
Wojciech Zielonka, Tobias Kirschstein, Timo Bolkart +8
This state-of-the-art report provides an overview of controllable 3D human avatar creation. We describe current 3D avatar systems, which typically consist of three stages: (i) lear…
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…
Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input
Donglai Xiang, Fabian Prada, Zhe Cao +4
Clothing is an important part of human appearance but challenging to model in photorealistic avatars. In this work we present avatars with dynamically moving loose clothing that ca…
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…
Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing
Donglai Xiang, Timur Bagautdinov, Tuur Stuyck +10
Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing - one of the core aspects of human self-expression - remains an open challenge. S…
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…
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…
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…
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-…
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…
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…
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…
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…