artonson
Research scientist at TUM, interested in geometry processing, 3D vision, and learning.
TUMMunich, Germany
Pinned Repositories
artonson.github.io
Personal website
deepmif
Official implementation of the paper "DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping"
def
Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"
hse-applied-statistics-2018
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
hse-statistics-of-random-processes-fintech-2018
Materials for HSE Fintech course "Statistics of Random Processes" taught during 2018.
pitch-improver
music21-based pitch improver
prs
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing
random-processes-lectures
Конспекты лекций по курсу "Статистика случайных процессов".
skoltech-fse-2021
Materials for Skoltech course "Foundations of Software Engineering" taught during 2021.
ysda-asml-2018
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
artonson's Repositories
artonson/def
Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"
artonson/hse-applied-statistics-2018
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
artonson/ysda-asml-2018
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
artonson/prs
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing
artonson/skoltech-fse-2021
Materials for Skoltech course "Foundations of Software Engineering" taught during 2021.
artonson/deepmif
Official implementation of the paper "DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping"
artonson/hse-statistics-of-random-processes-fintech-2018
Materials for HSE Fintech course "Statistics of Random Processes" taught during 2018.
artonson/pitch-improver
music21-based pitch improver
artonson/artonson.github.io
Personal website
artonson/random-processes-lectures
Конспекты лекций по курсу "Статистика случайных процессов".
artonson/acl-anthology
Data and software for building the ACL Anthology.
artonson/covid-gof-patterns
Simulating virus epidemics the object-oriented way.
artonson/field_learn
Official implementation of the AIST-2019 paper "Learning to approximate directional fields defined over 2d planes"
artonson/hse-statistics-of-random-processes-ml-2018
Materials for HSE ML course "Statistics of Random Processes" taught during 2018.
artonson/libigl
Simple C++ geometry processing library.
artonson/skoltech-fse-2020
Materials for Skoltech course "Foundations of Software Engineering" taught during 2020.
artonson/skoltech-gcv-2021
Materials for Skoltech course "Geometric Computer Vision" taught during 2021.