cgarg-tud

Pinned Repositories

3d-psrnet
Repository for 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction [ECCVW 2018]
Language:Python00
3D_modelling
Project for 3D reconstruction of object from point cloud and images
1 1 10
A23D
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AI-links
00
cityjson
A JSON-based implementation of CityGML, easy-to-use and compact
Language:C++00
CRF_denoising
Build a CRF model using Chainer for binary image denoising.
Language:Python00
deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Language:Jupyter Notebook00
dtm_lab1
Interpolations
00
GeomAwareLoss
Code and Data used for conducting Research on my Masters thesis : Indoor 3D Reconstruction from a Single Image
Language:Python21
indoor_positioning
This code was a part of synthesis project on using point clouds for indoor localisation focusing on ceilings
Language:Python01

cgarg-tud's Repositories

cgarg-tud/GeomAwareLoss
Code and Data used for conducting Research on my Masters thesis : Indoor 3D Reconstruction from a Single Image
Language:Python21
cgarg-tud/3D_modelling
Project for 3D reconstruction of object from point cloud and images
1 1 10
cgarg-tud/3d-psrnet
Repository for 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction [ECCVW 2018]
Language:Python00
cgarg-tud/A23D
00
cgarg-tud/AI-links
00
cgarg-tud/cityjson
A JSON-based implementation of CityGML, easy-to-use and compact
Language:C++00
cgarg-tud/CRF_denoising
Build a CRF model using Chainer for binary image denoising.
Language:Python00
cgarg-tud/deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Language:Jupyter Notebook00
cgarg-tud/dtm_lab1
Interpolations
00
cgarg-tud/indoor_positioning
This code was a part of synthesis project on using point clouds for indoor localisation focusing on ceilings
Language:Python01
cgarg-tud/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
cgarg-tud/PlanarReconstruction
[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
cgarg-tud/ragstack_testing
Language:Python
cgarg-tud/ScanNet
cgarg-tud/Semantic-Mono-Depth
Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
Language:Python1 0
cgarg-tud/superpixels-revisited
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
cgarg-tud/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks