ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.08723
  4. Cited By
Latent Space Subdivision: Stable and Controllable Time Predictions for
  Fluid Flow

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow

12 March 2020
S. Wiewel
Byungsoo Kim
Vinicius Azevedo
B. Solenthaler
Nils Thuerey
    AI4CE
ArXivPDFHTML

Papers citing "Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow"

8 / 8 papers shown
Title
CIMS: Correction-Interpolation Method for Smoke Simulation
CIMS: Correction-Interpolation Method for Smoke Simulation
Yun-Hwa Lee
Dohae Lee
Young-Jin Oh
In-Kwon Lee
22
0
0
28 Dec 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Chloé Paliard
Nils Thuerey
Kiwon Um
AI4CE
25
0
0
21 Nov 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid
  Dynamics
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
L. Prantl
Benjamin Ummenhofer
V. Koltun
Nils Thuerey
AI4CE
PINN
26
29
0
12 Oct 2022
A composable machine-learning approach for steady-state simulations on
  high-resolution grids
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade
C. Hill
Lalit Ghule
Jay Pathak
AI4CE
33
7
0
11 Oct 2022
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
Jingyi Shen
Haoyu Li
Jiayi Xu
Ayan Biswas
Han-Wei Shen
MedIm
DiffM
23
6
0
05 Aug 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Chaoli Wang
J. Han
41
36
0
13 Apr 2022
A composable autoencoder-based iterative algorithm for accelerating
  numerical simulations
A composable autoencoder-based iterative algorithm for accelerating numerical simulations
Rishikesh Ranade
C. Hill
Haiyang He
Amir Maleki
Norman Chang
Jay Pathak
AI4CE
41
5
0
07 Oct 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
186
1,941
0
24 Oct 2016
1