Jae Shin Yoon | DeepAI

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Featured Co-authors

Christian Theobalt
185 publications
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Vladislav Golyanik
59 publications
Lingjie Liu
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Jimei Yang
47 publications
Duygu Ceylan
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Jaesik Park
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Jingwan Lu
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Hyun Soo Park
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Kihwan Kim
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∙ 07/02/2023

Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation

We introduce a method to generate temporally coherent human animation fr...

0 Tserendorj Adiya, et al. ∙

∙ 03/24/2022

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

Appearance of dressed humans undergoes a complex geometric transformatio...

0 Jae Shin Yoon, et al. ∙

∙ 09/30/2021

HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge

This paper presents a new large multiview dataset called HUMBI for human...

0 Jae Shin Yoon, et al. ∙

∙ 01/29/2021

Neural 3D Clothes Retargeting from a Single Image

In this paper, we present a method of clothes retargeting; generating th...

33 Jae Shin Yoon, et al. ∙

∙ 12/07/2020

Pose-Guided Human Animation from a Single Image in the Wild

We present a new pose transfer method for synthesizing a human animation...

0 Jae Shin Yoon, et al. ∙

∙ 04/02/2020

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera

This paper presents a new method to synthesize an image from arbitrary v...

0 Jae Shin Yoon, et al. ∙

∙ 07/25/2019

Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking

Improvements in data-capture and face modeling techniques have enabled u...

5 Jae Shin Yoon, et al. ∙

∙ 12/01/2018

HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset

This paper presents a new dataset called HUMBI - a large corpus of high ...

0 Zhixuan Yu, et al. ∙

∙ 12/04/2017

3D Semantic Trajectory Reconstruction from 3D Pixel Continuum

This paper presents a method to reconstruct dense semantic trajectory st...

0 Jae Shin Yoon, et al. ∙

∙ 10/17/2017

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

In this paper, we propose a unified end-to-end trainable multi-task netw...

1 Seokju Lee, et al. ∙

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