17 lines
1.3 KiB
Markdown
17 lines
1.3 KiB
Markdown
# CGDI-Practicals
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[Main website for the CGDI Lecture](https://perso.liris.cnrs.fr/vincent.nivoliers/cgdi/)
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## Practicals
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1. Color Transfer via Discrete Optimal Transport using the sliced
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approach: [[Note]](https://codimd.math.cnrs.fr/s/s_rh7X9wF), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/1-SlicedOptimalTransport)
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2. Bilateral Filtering (and sliced optimal transport again) [[Notes]](https://codimd.math.cnrs.fr/s/lPZt_4ybn)
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3. Rasterization, z-Buffer and Winding Numbers: [[Note]](https://codimd.math.cnrs.fr/s/1L-PBLbFW)
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4. 3d modeling: [[Note]](https://codimd.math.cnrs.fr/s/4HjiHCH9z)
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5. Geometry Processing: Laplacian Smoothing and Tutte Embedding
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[[Note]](https://codimd.math.cnrs.fr/s/97oyynV5t), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/4-LaplacianSmoothing)
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6. Geometry Processing: Discrete Differential Operators on Meshes and Dirichlet Problems [[Note]](https://codimd.math.cnrs.fr/s/QMfjkgib2), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/5-GeomProcessing)
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7. Monte Carlo Geometry Processing [[Note]](https://codimd.math.cnrs.fr/s/b5SRBDUf0), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/6-MonteCarloGeometryProcessing)
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8. kd-Tree and MC Geometry Processing -bis- [[Note]](https://codimd.math.cnrs.fr/s/TSPaU97gu)
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