Kiwon Um

24 papers A* 2Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dimension Expansion for Untangling Mass-Spring System.
Comput. Animat. Virtual Worlds
Seung-Wook Kim, Huiseong Lee, Jaehyun Lee, Kiwon Um, Junghyun Han
2024 J jnl
Momentum-preserving inversion alleviation for elastic material simulation.
Comput. Animat. Virtual Worlds
Heejo Jeong, Seung-wook Kim, Jaehyun Lee, Kiwon Um, Min Hyung Kee, Junghyun Han
2023 J jnl
An Optimization-based SPH Solver for Simulation of Hyperelastic Solids.
Comput. Graph. Forum
Min Hyung Kee, Kiwon Um, Hyunmo Kang, Junghyun Han
2023 — conf
Exploring Physical Latent Spaces for High-Resolution Flow Restoration.
VMV
Chloé Paliard, Nils Thuerey, Kiwon Um
2023 J jnl
Inversion alleviation for stable elastic body simulation.
Comput. Animat. Virtual Worlds
Jaehyun Lee, Seung-wook Kim, Kiwon Um, Min Hyung Kee, Junghyun Han
2022 J jnl
Exploring Physical Latent Spaces for Deep Learning.
CoRR
Chloé Paliard, Nils Thuerey, Kiwon Um
2021 J jnl
Constrained projective dynamics: real-time simulation of deformable objects with energy-momentum conservation.
ACM Trans. Graph.
Min Hyung Kee, Kiwon Um, Woo Seok Jeong, Junghyun Han
2021 J jnl
Physics-based Deep Learning.
CoRR
Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um
2021 J jnl
Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System.
ACM Trans. Appl. Percept.
Kiwon Um, Xiangyu Hu, Bing Wang, Nils Thuerey
2020 A* conf
Learning Similarity Metrics for Numerical Simulations.
ICML
Georg Kohl, Kiwon Um, Nils Thuerey
2020 J jnl
Learning Similarity Metrics for Numerical Simulations.
CoRR
Georg Kohl, Kiwon Um, Nils Thuerey
2020 J jnl
Perceptual Evaluation of Liquid Simulation Methods.
CoRR
Kiwon Um, Xiangyu Hu, Nils Thuerey
2020 J jnl
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning.
CoRR
Marie-Lena Eckert, Kiwon Um, Nils Thuerey
2020 A* conf
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.
NeurIPS
Kiwon Um, Robert Brand, Yun (Raymond) Fei, Philipp Holl, Nils Thuerey
2020 J jnl
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.
CoRR
Kiwon Um, Yun (Raymond) Fei, Philipp Holl, Robert Brand, Nils Thuerey
2019 J jnl
ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning.
ACM Trans. Graph.
Marie-Lena Eckert, Kiwon Um, Nils Thuerey
2018 J jnl
Liquid Splash Modeling with Neural Networks.
Comput. Graph. Forum
Kiwon Um, Xiangyu Hu, Nils Thuerey
2017 J jnl
Liquid Splash Modeling with Neural Networks.
CoRR
Kiwon Um, Xiangyu Hu, Nils Thuerey
2017 J jnl
Perceptual evaluation of liquid simulation methods.
ACM Trans. Graph.
Kiwon Um, Xiangyu Hu, Nils Thuerey
2015 J jnl
Muddy water animation with different details.
Comput. Animat. Virtual Worlds
Seungho Baek, Kiwon Um, Junghyun Han
2014 J jnl
Advanced Hybrid Particle-Grid Method with Sub-Grid Particle Correction.
Comput. Graph. Forum
Kiwon Um, Seungho Baek, Junghyun Han
2014 J jnl
Computer-generated iron filing art.
Vis. Comput.
Wonbae Yoon, Namil Lee, Kiwon Um, Junghyun Han
2013 J jnl
Porous deformable shell simulation with surface water flow and saturation.
Comput. Animat. Virtual Worlds
Kiwon Um, Tae-Yong Kim, Youngdon Kwon, Junghyun Han
2008 — conf
Leaking Fluids.
ISVC (1)
Kiwon Um, Junghyun Han