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Code Replicability in Computer Graphics

Supplementary material website for the paper:

 Code Replicability in Computer Graphics, Nicolas Bonneel, David
 Coeurjolly, Julie Digne, Nicolas Mellado, ACM Transactions on
 Graphics (Proceeding of SIGGRAPH 2020, 39:4)
  • Nicolas Bonneel (CNRS, LIRIS, Lyon, France)
  • David Coeurjolly (CNRS, LIRIS, Lyon, France)
  • Julie Digne (CNRS, LIRIS, Lyon, France)
  • Nicolas Mellado (CNRS, IRIT, Toulouse, France)

More details:

  author  =    {Nicolas Bonneel, David Coeurjolly, Julie Digne and Nicolas Mellado},
  title   =    {Code replicabiltiy in computer graphics},
  journal =    {ACM Transactions on Graphics (Proceedings of SIGGRAPH 2020)},
  year    =    {2020},
  volume  =    {39},
  number  =    {4},

This folder contains the data exploration website (website/ folder) and the matlab scripts (scripts/ folder) that generate the statistics from the consolidated data, available here.

Paper statistics (Figures 4 and 5)

The matlab script generateStatistics.m available in the scripts/ folder produces statistic related figures in the paper (Figures 4 and 5), as well a p-values, numbers, and Table 1 data as latex macros saved in a file stats.txt. This script depends on chi2test.m, fdr_bh.m and tscore.m

ACM keywords repartition (Figure 2)

The matlab script generate_topics_clouds.m available in the scripts/ folder loads the file topics.json and outputs pdf files of the word clouds. The file has been extracted from the dataset file by loading the content of the columns [row[‘ACM X’]] with X ranging from 1 to 10.

Website (Figure 3)

The website can be launched using the file index.html available in the website/ folder. It has been tested with Chrome, IE, Edge and Firefox.


The scripts and data follow the (BSD like) CeCILL-B license.


No description, website, or topics provided.







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