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Kiwon Um

Orcid: 0000-0002-4139-9308

Affiliations:
  • TU Munich, Department of Informatics, Germany


According to our database1, Kiwon Um authored at least 17 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
An Optimization-based SPH Solver for Simulation of Hyperelastic Solids.
[BibTeX]
[DOI]
Min Hyung Kee
,
Kiwon Um
,
HyunMo Kang
,
JungHyun Han
Comput. Graph. Forum, May, 2023

Inversion alleviation for stable elastic body simulation.
[BibTeX]
[DOI]
JaeHyun Lee
,
Seung-wook Kim
,
Kiwon Um
,
Min Hyung Kee
,
JungHyun Han
Comput. Animat. Virtual Worlds, 2023

Exploring Physical Latent Spaces for High-Resolution Flow Restoration.
[BibTeX]
[DOI]
Chloé Paliard
,
Nils Thuerey
,
Kiwon Um
Proceedings of the VMV 2023, 2023

2022
Exploring Physical Latent Spaces for Deep Learning.
[BibTeX]
[DOI]
Chloé Paliard
,
Nils Thuerey
,
Kiwon Um
CoRR, 2022

2021
Constrained projective dynamics: real-time simulation of deformable objects with energy-momentum conservation.
[BibTeX]
[DOI]
Min Hyung Kee
,
Kiwon Um
,
Woo Seok Jeong
,
Junghyun Han
ACM Trans. Graph., 2021

Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System.
[BibTeX]
[DOI]
Kiwon Um
,
Xiangyu Hu
,
Bing Wang
,
Nils Thuerey
ACM Trans. Appl. Percept., 2021

Physics-based Deep Learning.
[BibTeX]
[DOI]
Nils Thuerey
,
Philipp Holl
,
Maximilian Müller
,
Patrick Schnell
,
Felix Trost
,
Kiwon Um
CoRR, 2021

2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.
[BibTeX]
[DOI]
Kiwon Um
,
Robert Brand
,
Yun (Raymond) Fei
,
Philipp Holl
,
Nils Thuerey
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Similarity Metrics for Numerical Simulations.
[BibTeX]
[DOI]
Georg Kohl
,
Kiwon Um
,
Nils Thuerey
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning.
[BibTeX]
[DOI]
Marie-Lena Eckert
,
Kiwon Um
,
Nils Thuerey
ACM Trans. Graph., 2019

2018
Liquid Splash Modeling with Neural Networks.
[BibTeX]
[DOI]
Kiwon Um
,
Xiangyu Hu
,
Nils Thuerey
Comput. Graph. Forum, 2018

2017
Perceptual evaluation of liquid simulation methods.
[BibTeX]
[DOI]
Kiwon Um
,
Xiangyu Hu
,
Nils Thuerey
ACM Trans. Graph., 2017

2015
Muddy water animation with different details.
[BibTeX]
[DOI]
Seungho Baek
,
Kiwon Um
,
JungHyun Han
Comput. Animat. Virtual Worlds, 2015

2014
Computer-generated iron filing art.
[BibTeX]
[DOI]
Wonbae Yoon
,
Namil Lee
,
Kiwon Um
,
JungHyun Han
Vis. Comput., 2014

Advanced Hybrid Particle-Grid Method with Sub-Grid Particle Correction.
[BibTeX]
[DOI]
Kiwon Um
,
Seungho Baek
,
JungHyun Han
Comput. Graph. Forum, 2014

2013
Porous deformable shell simulation with surface water flow and saturation.
[BibTeX]
[DOI]
Kiwon Um
,
Tae-Yong Kim
,
Youngdon Kwon
,
JungHyun Han
Comput. Animat. Virtual Worlds, 2013

2008
Leaking Fluids.
[BibTeX]
[DOI]
Kiwon Um
,
JungHyun Han
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008


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