Is a Realistic Water Bubble Simulation Possible?

❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers

Their blog post and report on 3D segmentation is available here:
https://app.wandb.ai/nbaryd/SparseConvNet-examples_3d_segmentation/reports?view=nbaryd%2FSemantic%20Segmentation%20of%203D%20Point%20Clouds

📝 The paper "Unified Spray, Foam and Bubbles for Particle-Based Fluids" is available here:
- https://pdfs.semanticscholar.org/72ec/134f3c87c543be5f95330f73f4eb383c5511.pdf
- https://cg.informatik.uni-freiburg.de/publications/2012_CGI_sprayFoamBubbles.pdf

The FLIP Fluids plugin is available here:
https://blendermarket.com/products/flipfluids

If you wish to understand and implement a simple, real-time fluid simulator, you can check out my thesis here. It runs on your GPU and comes with source code:
https://users.cg.tuwien.ac.at/zsolnai/gfx/fluid_control_msc_thesis/

If you are yearning for more, Doyub Kim's Fluid Engine Development is available here:
https://doyub.com/fluid-engine-development/

Ryan Guy's notes on their FLIP Fluids implementation differences from the paper:
- The paper mentions gathering data from nearby particles in some calculations. Our simulator does not perform a nearest-neighbour particle search so we've made some modifications to to avoid this search.
- Our whitewater generator uses the Signed Distance Field (SDF) of the liquid surface to derive the surface curvature for locating wavecrests.
- The SDF is also used to test the depth of the particles, such as if they are located inside or outside of the liquid volume.
- Instead of using the particles to calculate velocity difference (trapped air potential), we are using velocity values that are stored on the grid.

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