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00 Notes joined.html
00 Notes joined.html
 
 
00 Notes joined.md
00 Notes joined.md
 
 
01 - Geometric Foundations - Surface Representations.md
01 - Geometric Foundations - Surface Representations.md
 
 
02 - Shapes - Alignment, Descriptors, Similarity.md
02 - Shapes - Alignment, Descriptors, Similarity.md
 
 
03 - Machine Learning Foundations.md
03 - Machine Learning Foundations.md
 
 
04 - Shape Segmentation and Labeling.md
04 - Shape Segmentation and Labeling.md
 
 
05 - Shape Generation.md
05 - Shape Generation.md
 
 
06 - Learning on Different 3D Representations.md
06 - Learning on Different 3D Representations.md
 
 
07 - Semantic Scene Understanding.md
07 - Semantic Scene Understanding.md
 
 
08 - Object Detection + Instance Segmentation.md
08 - Object Detection + Instance Segmentation.md
 
 
09 - Reconstructing and Generating Scenes.md
09 - Reconstructing and Generating Scenes.md
 
 
10 - Functional Analysis of Scenes.md
10 - Functional Analysis of Scenes.md
 
 
11 - Weak Supervision, n-shot Learning, Data Efficiency.md
11 - Weak Supervision, n-shot Learning, Data Efficiency.md
 
 
12a_Appendix - Stuff that was in the exercises.md
12a_Appendix - Stuff that was in the exercises.md
 
 
12b_Appendix - Architectures per Task.md
12b_Appendix - Architectures per Task.md
 
 
3DLite.png
3DLite.png
 
 
3d-R2N2.png
3d-R2N2.png
 
 
3d-epn.png
3d-epn.png
 
 
3d-mpa.png
3d-mpa.png
 
 
3dcnn.png
3dcnn.png
 
 
3depn.png
3depn.png
 
 
3depn_teaser.png
3depn_teaser.png
 
 
BPNet.png
BPNet.png
 
 
MeshCNN.png
MeshCNN.png
 
 
OccuSeg.png
OccuSeg.png
 
 
README.md
README.md
 
 
VoteNet.png
VoteNet.png
 
 
adversarial-texture-optimization.png
adversarial-texture-optimization.png
 
 
autoregressive-scancomplete.png
autoregressive-scancomplete.png
 
 
bezier-surface.png
bezier-surface.png
 
 
bird-mesh-reconstructed.png
bird-mesh-reconstructed.png
 
 
chair-alignment.png
chair-alignment.png
 
 
chair-semantic-segmentation.png
chair-semantic-segmentation.png
 
 
circle-approximations.png
circle-approximations.png
 
 
create-html.sh
create-html.sh
 
 
deepsdf_architecture.png
deepsdf_architecture.png
 
 
deepsdf_teaser.png
deepsdf_teaser.png
 
 
descriptor-space-co-segmentation.png
descriptor-space-co-segmentation.png
 
 
discrete-curves-normals.png
discrete-curves-normals.png
 
 
feature-points.png
feature-points.png
 
 
forecasting-characteristic-poses.png
forecasting-characteristic-poses.png
 
 
geodesic-CNN-full-network.png
geodesic-CNN-full-network.png
 
 
geodesic-CNN.png
geodesic-CNN.png
 
 
geodesic.png
geodesic.png
 
 
gh-pandoc.css
gh-pandoc.css
 
 
heat-kernel.png
heat-kernel.png
 
 
human-in-the-loop.png
human-in-the-loop.png
 
 
iMapper-input-output.png
iMapper-input-output.png
 
 
icp-tangent-plane.png
icp-tangent-plane.png
 
 
instance-segmentation.png
instance-segmentation.png
 
 
iterative-closest-points.png
iterative-closest-points.png
 
 
joint-embedding.png
joint-embedding.png
 
 
keypoint-detection.png
keypoint-detection.png
 
 
kpconv.png
kpconv.png
 
 
local-implicit-grids.png
local-implicit-grids.png
 
 
mannequin-challenge.png
mannequin-challenge.png
 
 
marching-cubes-lookup.png
marching-cubes-lookup.png
 
 
mask-r-cnn.jpg
mask-r-cnn.jpg
 
 
mask2cad.png
mask2cad.png
 
 
mesh-laplacian-2.png
mesh-laplacian-2.png
 
 
mesh-laplacian.png
mesh-laplacian.png
 
 
mvcnn.png
mvcnn.png
 
 
nonrigid-elephant.png
nonrigid-elephant.png
 
 
pandoc.sh
pandoc.sh
 
 
parametric-3d-models.png
parametric-3d-models.png
 
 
parts-of-tables.png
parts-of-tables.png
 
 
pigraphs.png
pigraphs.png
 
 
pixel2mesh.png
pixel2mesh.png
 
 
point-net.png
point-net.png
 
 
pointnet-part-segmentation.png
pointnet-part-segmentation.png
 
 
pointnet.png
pointnet.png
 
 
points-to-implicit.png
points-to-implicit.png
 
 
predict-human-motion.png
predict-human-motion.png
 
 
psgn.png
psgn.png
 
 
reconstruction-on-unseen-classes.png
reconstruction-on-unseen-classes.png
 
 
retrievalfuse.png
retrievalfuse.png
 
 
reveal-net.png
reveal-net.png
 
 
scan-complete.png
scan-complete.png
 
 
scan2mesh.png
scan2mesh.png
 
 
scene generation.png
scene generation.png
 
 
sdf-operations.png
sdf-operations.png
 
 
sg-nn-unsupervised-completion.png
sg-nn-unsupervised-completion.png
 
 
simplenn.png
simplenn.png
 
 
sofa-category-prior.png
sofa-category-prior.png
 
 
spin-image.png
spin-image.png
 
 
spsg-losses.png
spsg-losses.png
 
 
structure-net.png
structure-net.png
 
 
submanifold-sparse.png
submanifold-sparse.png
 
 

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About these notes

These notes are my lecture notes on the Machine Learning for 3D Geometry course held in the summer term 2021 by Prof. Angela Dai. The notes are based on the course slides 1. Images are taken from the course slides and related research papers which are referenced in the notes.

The notes are written in Obsidian markdown and are best viewed in Obsidian.

Footnotes

  1. Angela Dai, Christian Diller, Yawar Siddiqui -- Machine Learning for 3D Geometry, lecture slides, summer term 2021 ↩

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My notes for the ML3D Lecture at TUM.

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