Difference between revisions of "Source codes and datasets"
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* Semi-Procedural Textures Using Point Process Texture Basis Functions (EGSR 2020) [[https://icube-publis.unistra.fr/2-GADB20 2-GADB20]]: [https://github.com/ASTex-ICube/semiproctex GitHub page]. | * Semi-Procedural Textures Using Point Process Texture Basis Functions (EGSR 2020) [[https://icube-publis.unistra.fr/2-GADB20 2-GADB20]]: [https://github.com/ASTex-ICube/semiproctex GitHub page]. | ||
* Multi-Scale Label-Map Extraction for Texture Synthesis (SIGGRAPH 2016) [[http://icube-publis.unistra.fr/2-LSAD16 2-LSAD16], [http://icube-publis.unistra.fr/4-LSAD16 4-LSAD16]]: [https://github.com/ylockerman/multi-scale-label-map-extraction/ GitHub page]. | * Multi-Scale Label-Map Extraction for Texture Synthesis (SIGGRAPH 2016) [[http://icube-publis.unistra.fr/2-LSAD16 2-LSAD16], [http://icube-publis.unistra.fr/4-LSAD16 4-LSAD16]]: [https://github.com/ylockerman/multi-scale-label-map-extraction/ GitHub page]. | ||
| + | * GeoCoq: [https://geocoq.github.io/GeoCoq/ lien vers la page GitHub]. | ||
| + | * Larus: [https://github.com/janicicpredrag/Larus lien vers la page GitHub]. | ||
===Datasets=== | ===Datasets=== | ||
Revision as of 19:40, 19 January 2022
This page gives access to the source codes and datasets accompanying the research papers of the team, and distributed to the community under public license.
Source codes
- Multi-scale Space-time Registration of Growing Plants (3DV 2021) [4-PHCC21] : GitHub page.
- Semi-Procedural Textures Using Point Process Texture Basis Functions (EGSR 2020) [2-GADB20]: GitHub page.
- Multi-Scale Label-Map Extraction for Texture Synthesis (SIGGRAPH 2016) [2-LSAD16, 4-LSAD16]: GitHub page.
- GeoCoq: lien vers la page GitHub.
- Larus: lien vers la page GitHub.
Datasets
- Multi-scale Space-time Registration of Growing Plants (3DV 2021) [4-PHCC21], dataset of 3D+t Arabidopsis point clouds: Zenodo page.
- Semi-Procedural Textures Using Point Process Texture Basis Functions (EGSR 2020) [2-GADB20], dataset of binary structure images extracted from natural textures: GitHub page.