Concepedia

Despoina Paschalidou

DP

6

Publications

235

Citations

6

H-Index

2018

Active since

Affiliations

Stanford University(Current)

Max Planck Institute for Intelligent Systems

Microsoft Research (United Kingdom)

Despoina Paschalidou is an author at Stanford University specializing in computer vision, geometric modeling, and machine vision.

Top concepts

EngineeringMachine VisionComputer VisionGeometry ModelingDeep LearningNatural SciencesComputer-aided DesignComputational GeometryRobot LearningMachine Learning

Publications per year

2018–2023

6

Publications

6

RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials

Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt et al. · 2018 · 96 citations

Geometric Learning, Engineering, Machine Learning +21

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

Despoina Paschalidou, Amlan Kar, Maria Shugrina et al. · arXiv (Cornell University) · 2021 · 47 citations · Full text

Plausible Room Layouts, Engineering, Machine Learning +18

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction

Zhen Wang, Shijie Zhou, Jeong Joon Park et al. · 2023 · 29 citations

Engineering, Point Cloud Processing, Computer-aided Design +18

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou et al. · 2023 · 25 citations

Engineering, Complex 3D, Layout-conditioned Generation +18

Generating Part-Aware Editable 3D Shapes without 3D Supervision

Despoina Paschalidou, Boxiao Pan, Jeong Joon Park et al. · 2023 · 22 citations · Full text

Engineering, Machine Learning, 3D Modeling +22

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