Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
Fuente:
arXiv
Saved in:
| Main Authors: | Franz, Aleksandra, Solenthaler, Barbara, Thuerey, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global Transport for Fluid Reconstruction with Learned Self-Supervision
by: Franz, Aleksandra, et al.
Published: (2021)
by: Franz, Aleksandra, et al.
Published: (2021)
Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction
by: Wang, Shaofan, et al.
Published: (2025)
by: Wang, Shaofan, et al.
Published: (2025)
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
by: Kohl, Georg, et al.
Published: (2023)
by: Kohl, Georg, et al.
Published: (2023)
On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching
by: Tao, Chenxi, et al.
Published: (2026)
by: Tao, Chenxi, et al.
Published: (2026)
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
by: Poels, Yoeri, et al.
Published: (2024)
by: Poels, Yoeri, et al.
Published: (2024)
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
by: Suk, Julian, et al.
Published: (2022)
by: Suk, Julian, et al.
Published: (2022)
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
by: Takamoto, Makoto, et al.
Published: (2022)
by: Takamoto, Makoto, et al.
Published: (2022)
CNN-powered micro- to macro-scale flow modeling in deformable porous media
by: Heider, Yousef, et al.
Published: (2025)
by: Heider, Yousef, et al.
Published: (2025)
Large-scale flood modeling and forecasting with FloodCast
by: Xu, Qingsong, et al.
Published: (2024)
by: Xu, Qingsong, et al.
Published: (2024)
Estimating Dynamic Flow Features in Groups of Tracked Objects
by: Harms, Tanner D., et al.
Published: (2024)
by: Harms, Tanner D., et al.
Published: (2024)
Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design
by: Yang, Yunjia, et al.
Published: (2026)
by: Yang, Yunjia, et al.
Published: (2026)
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
by: Liu, Qiang, et al.
Published: (2023)
by: Liu, Qiang, et al.
Published: (2023)
Identifying Locally Turbulent Vortices within Instabilities
by: Vivodtzev, Fabien, et al.
Published: (2024)
by: Vivodtzev, Fabien, et al.
Published: (2024)
A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation
by: Chen, Yu, et al.
Published: (2024)
by: Chen, Yu, et al.
Published: (2024)
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, et al.
Published: (2025)
by: Yang, Yunjia, et al.
Published: (2025)
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution
by: Cao, Qinglong, et al.
Published: (2024)
by: Cao, Qinglong, et al.
Published: (2024)
Neural reconstruction of 3D ocean wave hydrodynamics from camera sensing
by: Liu, Jiabin, et al.
Published: (2025)
by: Liu, Jiabin, et al.
Published: (2025)
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
by: Baker, Samuel J., et al.
Published: (2024)
by: Baker, Samuel J., et al.
Published: (2024)
Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes
by: Leonard, Ludwic, et al.
Published: (2025)
by: Leonard, Ludwic, et al.
Published: (2025)
Comparison of Generative Learning Methods for Turbulence Surrogates
by: Drygala, Claudia, et al.
Published: (2024)
by: Drygala, Claudia, et al.
Published: (2024)
Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning
by: Straat, Michiel, et al.
Published: (2025)
by: Straat, Michiel, et al.
Published: (2025)
Learning Transient Convective Heat Transfer with Geometry Aware World Models
by: Doganay, Onur T., et al.
Published: (2026)
by: Doganay, Onur T., et al.
Published: (2026)
FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
by: Dai, Yilong, et al.
Published: (2026)
by: Dai, Yilong, et al.
Published: (2026)
diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning
by: Winchenbach, Rene, et al.
Published: (2025)
by: Winchenbach, Rene, et al.
Published: (2025)
Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
by: A., Eshwar R., et al.
Published: (2026)
by: A., Eshwar R., et al.
Published: (2026)
Learning Pore-scale Multiphase Flow from 4D Velocimetry
by: Wang, Chunyang, et al.
Published: (2026)
by: Wang, Chunyang, et al.
Published: (2026)
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
by: Lienen, Marten, et al.
Published: (2023)
by: Lienen, Marten, et al.
Published: (2023)
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
by: Lempereur, Etienne, et al.
Published: (2024)
by: Lempereur, Etienne, et al.
Published: (2024)
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization
by: Ling, Tianheng, et al.
Published: (2024)
by: Ling, Tianheng, et al.
Published: (2024)
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
by: Williams, Josh, et al.
Published: (2023)
by: Williams, Josh, et al.
Published: (2023)
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
by: Wold, Jacob Wulff, et al.
Published: (2023)
by: Wold, Jacob Wulff, et al.
Published: (2023)
Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids
by: Magaña, Efraín, et al.
Published: (2025)
by: Magaña, Efraín, et al.
Published: (2025)
Pressure Field Reconstruction with SIREN: A Mesh-Free Approach for Image Velocimetry in Complex Noisy Environments
by: Miotto, Renato F., et al.
Published: (2025)
by: Miotto, Renato F., et al.
Published: (2025)
Spectrally Informed Learning of Fluid Flows
by: Shaffer, Benjamin D., et al.
Published: (2024)
by: Shaffer, Benjamin D., et al.
Published: (2024)
Unfolding Time: Generative Modeling for Turbulent Flows in 4D
by: Saydemir, Abdullah, et al.
Published: (2024)
by: Saydemir, Abdullah, et al.
Published: (2024)
Learning Flow Distributions via Projection-Constrained Diffusion on Manifolds
by: Trupin, Noah, et al.
Published: (2026)
by: Trupin, Noah, et al.
Published: (2026)
One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
by: Lino, Mario, et al.
Published: (2026)
by: Lino, Mario, et al.
Published: (2026)
Guiding diffusion models to reconstruct flow fields from sparse data
by: Amorós-Trepat, Marc, et al.
Published: (2025)
by: Amorós-Trepat, Marc, et al.
Published: (2025)
Accelerating Transient CFD through Machine Learning-Based Flow Initialization
by: Sharpe, Peter, et al.
Published: (2025)
by: Sharpe, Peter, et al.
Published: (2025)
Towards Active Flow Control Strategies Through Deep Reinforcement Learning
by: Montalà, Ricard, et al.
Published: (2024)
by: Montalà, Ricard, et al.
Published: (2024)
Similar Items
-
Global Transport for Fluid Reconstruction with Learned Self-Supervision
by: Franz, Aleksandra, et al.
Published: (2021) -
Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction
by: Wang, Shaofan, et al.
Published: (2025) -
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
by: Kohl, Georg, et al.
Published: (2023) -
On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching
by: Tao, Chenxi, et al.
Published: (2026) -
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
by: Poels, Yoeri, et al.
Published: (2024)