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20152022
most citedLarge-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

53 citations · 193 across the 10 of their papers we have counts for

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20 papers · 1 filter

cs.CV20225 cited

ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions

Difan Liu, Sandesh Shetty, Tobias Hinz +4

We present ASSET, a neural architecture for automatically modifying an input high-resolution image according to a user's edits on its semantic segmentation map. Our architecture is…

cs.CV2022

Projective Urban Texturing

Yiangos Georgiou, Melinos Averkiou, Tom Kelly +1

This paper proposes a method for automatic generation of textures for 3D city meshes in immersive urban environments. Many recent pipelines capture or synthesize large quantities o…

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.CV2021

Neural Strokes: Stylized Line Drawing of 3D Shapes

Difan Liu, Matthew Fisher, Aaron Hertzmann +1

This paper introduces a model for producing stylized line drawings from 3D shapes. The model takes a 3D shape and a viewpoint as input, and outputs a drawing with textured strokes,…

cs.CV202044 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

Neural Contours: Learning to Draw Lines from 3D Shapes

Difan Liu, Mohamed Nabail, Aaron Hertzmann +1

This paper introduces a method for learning to generate line drawings from 3D models. Our architecture incorporates a differentiable module operating on geometric features of the 3…