Difference between revisions of "Source codes and datasets"
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'''[[Main_Page_new|Back to home]]''' | '''[[Main_Page_new|Back to home]]''' | ||
This page gives access to the source codes and datasets accompanying the research papers of the team, and | This page gives access to the source codes and datasets accompanying the research papers of the team, and | ||
| − | distributed to the community. | + | distributed to the community under public license. |
===Source codes=== | ===Source codes=== | ||
| − | * 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 Space-time Registration of Growing Plants (3DV 2021) [[https://icube-publis.unistra.fr/4-PHCC21 4-PHCC21]] : [https://github.com/romi/4d_plant_analysis 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]. | ||
| + | * GeoCoq: [https://geocoq.github.io/GeoCoq/ GitHub page]. | ||
| + | * Larus: [https://github.com/janicicpredrag/Larus GitHub repo]. | ||
| + | * CGoGN: [https://github.com/cgogn/CGoGN_3 GitHub repo]. | ||
===Datasets=== | ===Datasets=== | ||
| + | * Multi-scale Space-time Registration of Growing Plants (3DV 2021) [[https://icube-publis.unistra.fr/4-PHCC21 4-PHCC21]], dataset of 3D+t Arabidopsis point clouds: [https://zenodo.org/record/5205562#%23.YVsD_9ozaUk Zenodo page]. | ||
* Semi-Procedural Textures Using Point Process Texture Basis Functions (EGSR 2020) [[https://icube-publis.unistra.fr/2-GADB20 2-GADB20]], dataset of binary structure images extracted from natural textures: [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]], dataset of binary structure images extracted from natural textures: [https://github.com/ASTex-ICube/semiproctex GitHub page]. | ||
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Latest revision as of 00:26, 1 February 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: GitHub page.
- Larus: GitHub repo.
- CGoGN: GitHub repo.
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.