activity
20202026
most citedLearning Part Boundaries from 3D Point Clouds

44 citations · 46 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

FacadeNet: Conditional Facade Synthesis via Selective Editing

Yiangos Georgiou, Marios Loizou, Tom Kelly +1

We introduce FacadeNet, a deep learning approach for synthesizing building facade images from diverse viewpoints. Our method employs a conditional GAN, taking a single view of a fa…

cs.CV2021★ 2 cited

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation

Gopal Sharma, Bidya Dash, Aruni RoyChowdhury +7

We present PriFit, a semi-supervised approach for label-efficient learning of 3D point cloud segmentation networks. PriFit combines geometric primitive fitting with point-based rep…

cs.CV2021

BuildingNet: Learning to Label 3D Buildings

Pratheba Selvaraju, Mohamed Nabail, Marios Loizou +5

We introduce BuildingNet: (a) a large-scale dataset of 3D building models whose exteriors are consistently labeled, (b) a graph neural network that labels building meshes by analyz…

cs.CV2020★ 44 cited

Learning Part Boundaries from 3D Point Clouds

Marios Loizou, Melinos Averkiou, Evangelos Kalogerakis

We present a method that detects boundaries of parts in 3D shapes represented as point clouds. Our method is based on a graph convolutional network architecture that outputs a prob…

cs.CV2020

Cross-Shape Attention for Part Segmentation of 3D Point Clouds

Marios Loizou, Siddhant Garg, Dmitry Petrov +2

We present a deep learning method that propagates point-wise feature representations across shapes within a collection for the purpose of 3D shape segmentation. We propose a cross-…