75 citations · 229 across the 15 of their papers we have counts for
16 papers · 1 filter
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos +4
Neural reconstruction and rendering strategies have demonstrated state-of-the-art performances due, in part, to their ability to preserve high level shape details. Existing approac…
NSF: Neural Surface Fields for Human Modeling from Monocular Depth
Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin +4
Obtaining personalized 3D animatable avatars from a monocular camera has several real world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very c…
VIVE3D: Viewpoint-Independent Video Editing using 3D-Aware GANs
Anna Frühstück, Nikolaos Sarafianos, Yuanlu Xu +2
We introduce VIVE3D, a novel approach that extends the capabilities of image-based 3D GANs to video editing and is able to represent the input video in an identity-preserving and t…
Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)
Pierre Zins, Yuanlu Xu, Edmond Boyer +2
In this paper, we investigate a new optimization framework for multi-view 3D shape reconstructions. Recent differentiable rendering approaches have provided breakthrough performanc…
Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet
Shihao Zou, Yuanlu Xu, Chao Li +3
Multi-person pose understanding from RGB videos involves three complex tasks: pose estimation, tracking and motion forecasting. Intuitively, accurate multi-person pose estimation f…
BodyMap: Learning Full-Body Dense Correspondence Map
Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu +2
Dense correspondence between humans carries powerful semantic information that can be utilized to solve fundamental problems for full-body understanding such as in-the-wild surface…
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
Tong He, Yuanlu Xu, Shunsuke Saito +2
We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary clothing styles. Our reconstructed avatars are animation-ready and highly realistic, in both the v…
Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views
Pierre Zins, Yuanlu Xu, Edmond Boyer +2
Recently, data-driven single-view reconstruction methods have shown great progress in modeling 3D dressed humans. However, such methods suffer heavily from depth ambiguities and oc…
UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality
Mathias Parger, Chengcheng Tang, Yuanlu Xu +5
Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments. Unlike the popular 3D pose estimation setting, the p…
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
Yuanlu Xu, Song-Chun Zhu, Tony Tung
We present DenseRaC, a novel end-to-end framework for jointly estimating 3D human pose and body shape from a monocular RGB image. Our two-step framework takes the body pixel-to-sur…
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
Siyuan Huang, Siyuan Qi, Yixin Zhu +3
We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set of CAD models using a stochastic grammar mode…
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
Haoshu Fang, Yuanlu Xu, Wenguan Wang +2
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation. Our model directly takes 2D pose as input and learns a generalized 2D-3D mapping functio…
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Yuanlu Xu, Lei Qin, Xiaobai Liu +2
Tracking humans that are interacting with the other subjects or environment remains unsolved in visual tracking, because the visibility of the human of interests in videos is unkno…
Scene-centric Joint Parsing of Cross-view Videos
Hang Qi, Yuanlu Xu, Tao Yuan +2
Cross-view video understanding is an important yet under-explored area in computer vision. In this paper, we introduce a joint parsing framework that integrates view-centric propos…
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models
Liang Lin, Yuanlu Xu, Xiaodan Liang +1
Although it has been widely discussed in video surveillance, background subtraction is still an open problem in the context of complex scenarios, e.g., dynamic backgrounds, illumin…
Human Re-identification by Matching Compositional Template with Cluster Sampling
Yuanlu Xu, Liang Lin, Wei-Shi Zheng +1
This paper aims at a newly raising task in visual surveillance: re-identifying people at a distance by matching body information, given several reference examples. Most of existing…