alexeybokhovkin

3D-Machine-Learning

A resource repository for 3D machine learning

adasegroup.github.io

Official website of the ADASE Group at Skoltech, Moscow

alexeybokhovkin.github.io

CAD-Deform

Code used in the research project CAD-Deform: Deformable Fitting of CAD Models to 3D Scans

DeepSDF

"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)

geometric_embedding

"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation

mesh2tex

We present Mesh2Tex, which learns a realistic object texture manifold from uncorrelated collections of 3D object geometry and photorealistic RGB images, by leveraging a hybrid mesh-neural-field texture representation.

neural-part-priors

The repository for Neural Part Priors method for part-based 3D indoor scene reconstruction.

part-based-scan-understanding

Towards Part-Based Understanding of RGB-D Scans

SceneFactor

We present SceneFactor, a diffusion-based approach for large-scale 3D scene generation that enables controllable generation and effortless editing.

alexeybokhovkin/CAD-Deform

Code used in the research project CAD-Deform: Deformable Fitting of CAD Models to 3D Scans

alexeybokhovkin/DeepSDF

"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)

alexeybokhovkin/SceneFactor

We present SceneFactor, a diffusion-based approach for large-scale 3D scene generation that enables controllable generation and effortless editing.

alexeybokhovkin/part-based-scan-understanding

Towards Part-Based Understanding of RGB-D Scans

alexeybokhovkin/neural-part-priors

The repository for Neural Part Priors method for part-based 3D indoor scene reconstruction.

alexeybokhovkin/mesh2tex

We present Mesh2Tex, which learns a realistic object texture manifold from uncorrelated collections of 3D object geometry and photorealistic RGB images, by leveraging a hybrid mesh-neural-field texture representation.

alexeybokhovkin/alexeybokhovkin.github.io

alexeybokhovkin/geometric_embedding

"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation

alexeybokhovkin/3D-Machine-Learning

A resource repository for 3D machine learning

alexeybokhovkin/adasegroup.github.io

Official website of the ADASE Group at Skoltech, Moscow

alexeybokhovkin/awesome-semantic-segmentation

awesome-semantic-segmentation

alexeybokhovkin/glances

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.

alexeybokhovkin/K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

alexeybokhovkin/libigl

Simple C++ geometry processing library.

alexeybokhovkin/mesh_to_sdf

Calculate signed distance fields for arbitrary meshes

alexeybokhovkin/partnet_seg_exps

PartNet Shape Segmentation Experiments Code Repo

alexeybokhovkin/skoltech_thesis_template

This is an unofficial LaTeX template for MSc thesis in a Skoltech university.

alexeybokhovkin/structurenet

StructureNet: Hierarchical Graph Networks for 3D Shape Generation