no code implementations • CVPR 2023 • Wenqiang Xu, Zhenjun Yu, Han Xue, Ruolin Ye, Siqiong Yao, Cewu Lu
We propose a simulation environment, VT-Sim, which supports generating hand-object interaction for both rigid and deformable objects.
1 code implementation • CVPR 2023 • Han Xue, Zhiwu Huang, Qianru Sun, Li Song, Wenjun Zhang
In this work, we explore the freestyle capability of the model, i. e., how far can it generate unseen semantics (e. g., classes, attributes, and styles) onto a given layout, and call the task Freestyle LIS (FLIS).
1 code implementation • CVPR 2023 • Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li, Wenxin Du, Ruolin Ye, Cewu Lu
In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with which users can manipulate virtual garment models in simulation through a VR interface.
no code implementations • 14 Dec 2021 • Han Xue, Liu Liu, Wenqiang Xu, Haoyuan Fu, Cewu Lu
With the full representation of the object shape and joint states, we can address several tasks including category-level object pose estimation and the articulated object retrieval.
1 code implementation • CVPR 2021 • Jun Ling, Han Xue, Li Song, Rong Xie, Xiao Gu
To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem.
Ranked #3 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
no code implementations • 7 May 2021 • Liu Liu, Han Xue, Wenqiang Xu, Haoyuan Fu, Cewu Lu
This setting allows varied kinematic structures within a semantic category, and multiple instances to co-exist in an observation of real world.
1 code implementation • ECCV 2020 • Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu
Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e. g., facial action units) to possess the desired expression.
2 code implementations • ECCV 2020 • Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Li-Wei Wang, Stephen Lin, Han Hu
We present a new object representation, called Dense RepPoints, that utilizes a large set of points to describe an object at multiple levels, including both box level and pixel level.
no code implementations • CVPR 2018 • Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng Wang
Learning autonomous-driving policies is one of the most challenging but promising tasks for computer vision.