Search Results for author: HyunJun Jung

Found 12 papers, 2 papers with code

Deformable 3D Gaussian Splatting for Animatable Human Avatars

no code implementations22 Dec 2023 HyunJun Jung, Nikolas Brasch, Jifei Song, Eduardo Perez-Pellitero, Yiren Zhou, Zhihao LI, Nassir Navab, Benjamin Busam

ParDy-Human introduces parameter-driven dynamics into 3D Gaussian Splatting where 3D Gaussians are deformed by a human pose model to animate the avatar.

Novel View Synthesis

Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data

no code implementations21 Aug 2023 Patrick Ruhkamp, Daoyi Gao, HyunJun Jung, Nassir Navab, Benjamin Busam

6D pose estimation pipelines that rely on RGB-only or RGB-D data show limitations for photometrically challenging objects with e. g. textureless surfaces, reflections or transparency.

6D Pose Estimation

Multi-Modal Dataset Acquisition for Photometrically Challenging Object

no code implementations21 Aug 2023 HyunJun Jung, Patrick Ruhkamp, Nassir Navab, Benjamin Busam

This paper addresses the limitations of current datasets for 3D vision tasks in terms of accuracy, size, realism, and suitable imaging modalities for photometrically challenging objects.


Robust Monocular Depth Estimation under Challenging Conditions

no code implementations ICCV 2023 Stefano Gasperini, Nils Morbitzer, HyunJun Jung, Nassir Navab, Federico Tombari

While state-of-the-art monocular depth estimation approaches achieve impressive results in ideal settings, they are highly unreliable under challenging illumination and weather conditions, such as at nighttime or in the presence of rain.

Monocular Depth Estimation valid

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments

no code implementations7 Dec 2021 HyunJun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam

Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth estimation for mobile devices due to its small size and affordable price.

Depth Estimation Depth Prediction

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