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ORCIDKiwon Um
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- affiliation: TU Munich, Department of Informatics, Germany
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2020 – today
- 2024
[j12]Heejo Jeong, Seung-wook Kim, JaeHyun Lee
, Kiwon Um, Min Hyung Kee, JungHyun Han:
Momentum-preserving inversion alleviation for elastic material simulation. Comput. Animat. Virtual Worlds 35(3) (2024)- 2023
- [j11]Min Hyung Kee, Kiwon Um, Hyunmo Kang, JungHyun Han:
An Optimization-based SPH Solver for Simulation of Hyperelastic Solids. Comput. Graph. Forum 42(2): 225-233 (2023) - [j10]JaeHyun Lee, Seung-wook Kim, Kiwon Um, Min Hyung Kee, JungHyun Han:
Inversion alleviation for stable elastic body simulation. Comput. Animat. Virtual Worlds 34(3-4) (2023) - [c4]Chloé Paliard, Nils Thuerey, Kiwon Um:
Exploring Physical Latent Spaces for High-Resolution Flow Restoration. VMV 2023: 199-207 - 2022
- [i7]Chloé Paliard, Nils Thuerey, Kiwon Um:
Exploring Physical Latent Spaces for Deep Learning. CoRR abs/2211.11298 (2022) - 2021
- [j9]Kiwon Um, Xiangyu Hu, Bing Wang, Nils Thuerey:
Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System. ACM Trans. Appl. Percept. 18(2): 6:1-6:15 (2021) - [j8]Min Hyung Kee, Kiwon Um, Woo Seok Jeong, Junghyun Han:
Constrained projective dynamics: real-time simulation of deformable objects with energy-momentum conservation. ACM Trans. Graph. 40(4): 160:1-160:12 (2021) - [i6]Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um:
Physics-based Deep Learning. CoRR abs/2109.05237 (2021) - 2020
- [c3]Georg Kohl, Kiwon Um, Nils Thuerey:
Learning Similarity Metrics for Numerical Simulations. ICML 2020: 5349-5360 - [c2]Kiwon Um, Robert Brand, Yun (Raymond) Fei, Philipp Holl, Nils Thuerey:
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. NeurIPS 2020 - [i5]Georg Kohl, Kiwon Um, Nils Thuerey:
Learning Similarity Metrics for Numerical Simulations. CoRR abs/2002.07863 (2020) - [i4]Kiwon Um, Yun (Raymond) Fei, Philipp Holl, Robert Brand, Nils Thuerey:
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. CoRR abs/2007.00016 (2020) - [i3]Kiwon Um, Xiangyu Hu, Nils Thuerey:
Perceptual Evaluation of Liquid Simulation Methods. CoRR abs/2011.10257 (2020) - [i2]Marie-Lena Eckert, Kiwon Um, Nils Thuerey:
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning. CoRR abs/2011.10284 (2020)
2010 – 2019
- 2019
- [j7]Marie-Lena Eckert, Kiwon Um, Nils Thuerey:
ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning. ACM Trans. Graph. 38(6): 239:1-239:16 (2019) - 2018
- [j6]Kiwon Um, Xiangyu Hu, Nils Thuerey:
Liquid Splash Modeling with Neural Networks. Comput. Graph. Forum 37(8): 171-182 (2018) - 2017
- [j5]Kiwon Um, Xiangyu Hu, Nils Thuerey:
Perceptual evaluation of liquid simulation methods. ACM Trans. Graph. 36(4): 143:1-143:12 (2017) - [i1]Kiwon Um, Xiangyu Hu, Nils Thuerey:
Liquid Splash Modeling with Neural Networks. CoRR abs/1704.04456 (2017) - 2015
- [j4]Seungho Baek, Kiwon Um, JungHyun Han:
Muddy water animation with different details. Comput. Animat. Virtual Worlds 26(3-4): 347-355 (2015) - 2014
- [j3]Kiwon Um, Seungho Baek, JungHyun Han:
Advanced Hybrid Particle-Grid Method with Sub-Grid Particle Correction. Comput. Graph. Forum 33(7): 209-218 (2014) - [j2]Wonbae Yoon, Namil Lee, Kiwon Um, JungHyun Han:
Computer-generated iron filing art. Vis. Comput. 30(6-8): 889-895 (2014) - 2013
- [j1]Kiwon Um, Tae-Yong Kim, Youngdon Kwon, JungHyun Han:
Porous deformable shell simulation with surface water flow and saturation. Comput. Animat. Virtual Worlds 24(3-4): 247-254 (2013)
2000 – 2009
- 2008
- [c1]Kiwon Um, JungHyun Han:
Leaking Fluids. ISVC (1) 2008: 1135-1143
Coauthor Index
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