Junting Dong

About Junting Dong

Junting Dong, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

TELA: Text to Layer-wise 3D Clothed Human Generation

Drivable implicit three-dimensional human body representation method

Animatable implicit neural representations for creating realistic avatars from videos

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion

Motion capture method based on unsynchorized videos

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation

iVS-Net: Learning Human View Synthesis from Internet Videos

Totalselfscan: Learning full-body avatars from self-portrait videos of faces, hands, and bodies

Junting Dong Information

University

Position

___

Citations(all)

719

Citations(since 2020)

719

Cited By

49

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Junting Dong Skills & Research Interests

Computer Vision

Top articles of Junting Dong

TELA: Text to Layer-wise 3D Clothed Human Generation

arXiv preprint arXiv:2404.16748

2024/4/25

Drivable implicit three-dimensional human body representation method

2024/2/8

Animatable implicit neural representations for creating realistic avatars from videos

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024/1/17

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion

2024/2/27

Motion capture method based on unsynchorized videos

2023/8/24

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation

ICCV

2023/4/22

iVS-Net: Learning Human View Synthesis from Internet Videos

2023

Totalselfscan: Learning full-body avatars from self-portrait videos of faces, hands, and bodies

Advances in Neural Information Processing Systems

2022/12/6

iMoCap: motion capture from internet videos

International Journal of Computer Vision

2022/5

Fast and robust multi-person 3d pose estimation and tracking from multiple views

IEEE transactions on pattern analysis and machine intelligence

2021/7/20

Animatable neural radiance fields for modeling dynamic human bodies. 2021 IEEE

2021

Reconstructing 3d human pose by watching humans in the mirror

2021

A survey on monocular 3D human pose estimation

2020/12/1

See List of Professors in Junting Dong University(Zhejiang University)