Fluid animation tools

Courses:
[1] bridson https://www.cs.ubc.ca/~rbridson/fluidsimulation/

Resources and Source Code:
[1] PBD http://www.interactive-graphics.de/index.php/research/108-a-survey-on-position-based-dynamics-2017

Water Simulation

Compiling Sources:
[1] 2D SPH https://github.com/tizian/SPH-Water-Simulation
    $sudo apt-cache search sfml
    $sudo apt-get install libsfml-dev
    #change for's
    $make
    $./sph

[2] WebGL water simulation https://experiments.withgoogle.com/webgl-water-simulation

[3] Google webgl https://experiments.withgoogle.com/search?q=fluid
  [3.1] http://david.li/fluid/
  [3.2] http://madebyevan.com/webgl-water/
[4] 3D Simulation/Animation/Fluids and more https://www.fetchcfd.com/search-projects/type/cfd

Related:
[1] Stanford su2 https://su2code.github.io/
[2] Multiple Interacting Fluids https://www.yiningkarlli.com/projects/multifluid.html

Filtering

References:
[1] http://cattedraledigitale.isti.cnr.it
      2012 Bilateral filters https://onlinelibrary.wiley.com/doi/full/10.1111/j.1467-8659.2011.02078.x

[2] http://files.is.tue.mpg.de/pgehler/assets/publications/jampani16learning/jampani16learning.pdf
[3] https://zapdf.com/fast-high-dimensional-filtering-using-clustering.html


[6] http://www.inf.ufrgs.br/~oliveira/students_dissertations/PhD/Eduardo_Gastal_PhD_Dissertation.pdf
[7] https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/259/0766_cameraready.pdf
[8] http://www.scitepress.org/Papers/2016/57151/57151.pdf
[9] http://vision.ai.illinois.edu/publications/yangijcv2015.pdf
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Fast_End-to-End_Trainable_CVPR_2018_paper.pdf
http://perso.ensta-paristech.fr/~manzaner/Publis/icpr10.pdf
http://www.cs.cityu.edu.hk/~rynson/papers/tcsvt16a.pdf
https://arxiv.org/pdf/1505.00077.pdf
https://fukushima.web.nitech.ac.jp/paper/2016_visapp_fujita.pdf
http://www.riken.jp/brict/Yoshizawa/Papers/cgf09yby.pdf

High-dimensional integration without Markov chains, Alexander gray
https://www.cs.ubc.ca/~nando/nipsfast/slides/high.pdf

Fast edge-preserving/-aware high dimensional filters for image & video processing https://www.slideshare.net/yuhuang/fast-edge-preservingaware-high-dimensional-filters-for-image-video-processing

 

Aditional
[1] Parallel methods for Numeric Analysis http://adl.stanford.edu/cme342/Home.html
[2] Fast Multipole Methods https://www.math.uci.edu/~chenlong/MathPKU/FMMsimple.pdf

Resources
[1] ImageStack https://code.google.com/archive/p/imagestack/
                          https://github.com/abadams/imagestack
[2] RGBD Utils, use ImageStack https://github.com/s-gupta/rgbdutils

[3] Recursive bilateral filtering  https://github.com/ufoym/RecursiveBF
    ./rbf girl_out.bmp girl.bmp 0.1 0.04
    file https://media.macphun.com/img/uploads/uploads/macphun/noiseless/nl_slider_1_b.jpg
[4] Bilateral grid http://groups.csail.mit.edu/graphics/bilagrid/
[5] Bilateral upsampling http://people.csail.mit.edu/jiawen/

Python tools
[1] ndimage 3D convolution https://docs.scipy.org/doc/scipy-0.16.0/reference/ndimage.html

smoothing

References:

[1] smoothing python https://matthew-brett.github.io/teaching/smoothing_intro.html