Search Results for author: Yuanlu Xu

Found 22 papers, 6 papers with code

ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D image

no code implementations15 Mar 2024 Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Ziyan Wang, Chun-Han Yao, Marco Volino, Edmond Boyer, Adrian Hilton, Tony Tung

In this paper, we explore the benefits of incorporating depth observations in the reconstruction process by introducing ANIM, a novel method that reconstructs arbitrary 3D human shapes from single-view RGB-D images with an unprecedented level of accuracy.

RoHM: Robust Human Motion Reconstruction via Diffusion

no code implementations16 Jan 2024 Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu, Alexander Winkler, Petr Kadlecek, Siyu Tang, Federica Bogo

We apply RoHM to a variety of tasks -- from motion reconstruction and denoising to spatial and temporal infilling.


HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction

no code implementations28 Dec 2023 Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan Yuille, Tony Tung

This representation is composed of two surface layers that represent opaque and translucent regions on the clothed human body.

3D Human Reconstruction

NSF: Neural Surface Fields for Human Modeling from Monocular Depth

no code implementations ICCV 2023 Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung

Compared to existing approaches, our method eliminates the expensive per-frame surface extraction while maintaining mesh coherency, and is capable of reconstructing meshes with arbitrary resolution without retraining.

Computational Efficiency Virtual Try-on

VIVE3D: Viewpoint-Independent Video Editing using 3D-Aware GANs

1 code implementation CVPR 2023 Anna Frühstück, Nikolaos Sarafianos, Yuanlu Xu, Peter Wonka, Tony Tung

Our experiments demonstrate that VIVE3D generates high-fidelity face edits at consistent quality from a range of camera viewpoints which are composited with the original video in a temporally and spatially consistent manner.

Optical Flow Estimation Video Editing

Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)

no code implementations CVPR 2023 Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung

Our approach bridges the gap between the two strategies with a novel volumetric shape representation that is implicit but parameterized with pixel depths to better materialize the shape surface with consistent signed distances along viewing rays.

3D Shape Reconstruction Depth Estimation +1

Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

1 code implementation9 Jul 2022 Shihao Zou, Yuanlu Xu, Chao Li, Lingni Ma, Li Cheng, Minh Vo

In this paper, we propose Snipper, a unified framework to perform multi-person 3D pose estimation, tracking, and motion forecasting simultaneously in a single stage.

3D Pose Estimation Motion Forecasting +1

BodyMap: Learning Full-Body Dense Correspondence Map

no code implementations CVPR 2022 Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu, Ignacio Rocco, Tony Tung

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 matching, tracking and reconstruction.

Neural Rendering Novel View Synthesis

Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views

1 code implementation16 Apr 2021 Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung

We propose a data-driven end-to-end approach that reconstructs an implicit 3D representation of dressed humans from sparse camera views.

3D Reconstruction

ARCH: Animatable Reconstruction of Clothed Humans

1 code implementation CVPR 2020 Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image.

3D Object Reconstruction From A Single Image 3D Reconstruction

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

no code implementations ICCV 2019 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.

Ranked #79 on 3D Human Pose Estimation on MPI-INF-3DHP (using extra training data)

3D Human Pose Estimation

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

1 code implementation ECCV 2018 Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, Song-Chun Zhu

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 model.

Ranked #4 on Monocular 3D Object Detection on SUN RGB-D (AP@0.15 (10 / PNet-30) metric)

Monocular 3D Object Detection Object +5

Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification

1 code implementation CVPR 2018 Wenguan Wang, Yuanlu Xu, Jianbing Shen, Song-Chun Zhu

This paper proposes a knowledge-guided fashion network to solve the problem of visual fashion analysis, e. g., fashion landmark localization and clothing category classification.

General Classification

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects

no code implementations CVPR 2018 Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

We introduce a Causal And-Or Graph (C-AOG) to represent the causal-effect relations between an object's visibility fluent and its activities, and develop a probabilistic graph model to jointly reason the visibility fluent change (e. g., from visible to invisible) and track humans in videos.

Visual Tracking

Scene-centric Joint Parsing of Cross-view Videos

no code implementations16 Sep 2017 Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu

The proposed joint parsing framework represents such correlations and constraints explicitly and generates semantic scene-centric parse graphs.

Video Understanding

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

no code implementations2 Feb 2015 Liang Lin, Yuanlu Xu, Xiaodan Liang, Jian-Huang Lai

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, illumination variations, and indistinct foreground objects.

Human Re-identification by Matching Compositional Template with Cluster Sampling

no code implementations1 Feb 2015 Yuanlu Xu, Liang Lin, Wei-Shi Zheng, Xiaobai Liu

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.

Person Re-Identification

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