Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Dong, Junting"'
This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate the whole model in a single-stage optimization, which makes them strugg
Externí odkaz:
http://arxiv.org/abs/2404.16748
Autor:
Huang, Zehuan, Wen, Hao, Dong, Junting, Wang, Yaohui, Li, Yangguang, Chen, Xinyuan, Cao, Yan-Pei, Liang, Ding, Qiao, Yu, Dai, Bo, Sheng, Lu
Generating multiview images from a single view facilitates the rapid generation of a 3D mesh conditioned on a single image. Recent methods that introduce 3D global representation into diffusion models have shown the potential to generate consistent m
Externí odkaz:
http://arxiv.org/abs/2312.06725
3D representation disentanglement aims to identify, decompose, and manipulate the underlying explanatory factors of 3D data, which helps AI fundamentally understand our 3D world. This task is currently under-explored and poses great challenges: (i) t
Externí odkaz:
http://arxiv.org/abs/2304.11342
Autor:
Peng, Sida, Xu, Zhen, Dong, Junting, Wang, Qianqian, Zhang, Shangzhan, Shuai, Qing, Bao, Hujun, Zhou, Xiaowei
This paper addresses the challenge of reconstructing an animatable human model from a multi-view video. Some recent works have proposed to decompose a non-rigidly deforming scene into a canonical neural radiance field and a set of deformation fields
Externí odkaz:
http://arxiv.org/abs/2203.08133
Autor:
Peng, Sida, Dong, Junting, Wang, Qianqian, Zhang, Shangzhan, Shuai, Qing, Zhou, Xiaowei, Bao, Hujun
This paper addresses the challenge of reconstructing an animatable human model from a multi-view video. Some recent works have proposed to decompose a non-rigidly deforming scene into a canonical neural radiance field and a set of deformation fields
Externí odkaz:
http://arxiv.org/abs/2105.02872
In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which we can see the person and the person's image through a mirror. Compared to general scenarios of 3D pose estimation from a single view, the mirror re
Externí odkaz:
http://arxiv.org/abs/2104.00340
Autor:
Dong, Junting, Yu, Chang, Wang, Hui, Chen, Lin, Huang, Hongling, Han, Yingnan, Wei, Qianbing, Qiu, Jieshan
Publikováno v:
In Journal of Energy Chemistry March 2024 90:486-495
Recent advances in image-based human pose estimation make it possible to capture 3D human motion from a single RGB video. However, the inherent depth ambiguity and self-occlusion in a single view prohibit the recovery of as high-quality motion as mul
Externí odkaz:
http://arxiv.org/abs/2008.07931
Publikováno v:
In Applied Mathematics Letters August 2023 142
This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views. The main challenge of this problem is to find the cross-view correspondences among noisy and incomplete 2D pose predictions. Most previous me
Externí odkaz:
http://arxiv.org/abs/1901.04111