28 citations · 49 across the 7 of their papers we have counts for
7 papers · 1 filter
FlowAvatar: Real-Time Full-Body Avatars from Sparse Egocentric Inputs on Consumer XR Devices
Chenfeng Gao, Taeyoung Yeon, Sungheon Park +4
Prior avatar embodiment research has studied tracking completeness (how faithfully the body, hands, and face are sensed and reproduced) and personalized appearance in isolation, ea…
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
Sungheon Park, Minjung Son, Seokhwan Jang +3
Temporal interpolation often plays a crucial role to learn meaningful representations in dynamic scenes. In this paper, we propose a novel method to train spatiotemporal neural rad…
PANeRF: Pseudo-view Augmentation for Improved Neural Radiance Fields Based on Few-shot Inputs
Young Chun Ahn, Seokhwan Jang, Sungheon Park +2
The method of neural radiance fields (NeRF) has been developed in recent years, and this technology has promising applications for synthesizing novel views of complex scenes. Howev…
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
Sungheon Park, Minsik Lee, Nojun Kwak
We propose a novel framework for training neural networks which is capable of learning 3D information of non-rigid objects when only 2D annotations are available as ground truths.…
Pose estimator and tracker using temporal flow maps for limbs
Jihye Hwang, Jieun Lee, Sungheon Park +1
For human pose estimation in videos, it is significant how to use temporal information between frames. In this paper, we propose temporal flow maps for limbs (TML) and a multi-stri…
3D Human Pose Estimation with Relational Networks
Sungheon Park, Nojun Kwak
In this paper, we propose a novel 3D human pose estimation algorithm from a single image based on neural networks. We adopted the structure of the relational networks in order to c…
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
Sungheon Park, Jihye Hwang, Nojun Kwak
While there has been a success in 2D human pose estimation with convolutional neural networks (CNNs), 3D human pose estimation has not been thoroughly studied. In this paper, we ta…