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Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.

, , , , , , and . IPMI, volume 12729 of Lecture Notes in Computer Science, page 545-558. Springer, (2021)

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Perceptual Evaluation of Liquid Simulation Methods., , and . CoRR, (2020)Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow., , and . CoRR, (2018)Narrow Band FLIP for Liquid Simulations., , , , and . Comput. Graph. Forum, 35 (2): 225-232 (2016)ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning., , and . ACM Trans. Graph., 38 (6): 239:1-239:16 (2019)Hierarchical vorticity skeletons., , , and . Symposium on Computer Animation, page 6:1-6:11. Eurographics Association / ACM, (2017)Perceptual evaluation of liquid simulation methods., , and . ACM Trans. Graph., 36 (4): 143:1-143:12 (2017)Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics., , , and . NeurIPS, (2022)Neural Scene Graphs for Dynamic Scenes., , , , and . CVPR, page 2856-2865. Computer Vision Foundation / IEEE, (2021)Global Transport for Fluid Reconstruction With Learned Self-Supervision., , and . CVPR, page 1632-1642. Computer Vision Foundation / IEEE, (2021)ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning., , and . CoRR, (2020)