Iro Armeni

Assistant Professor, Stanford University

Leading the Gradient Spaces group. I work at the intersection of civil engineering, architecture, and machine perception to design and construct data-driven environments across physical and digital space.

About

My area of focus is on developing quantitative and data-driven methods that learn from real-world visual data to generate, predict, and simulate new or renewed built environments that place the human in the center. My goal is to create sustainable, inclusive, and adaptive built environments that can support our current and future physical and digital needs.

As part of my research vision, I am particularly interested in creating spaces that blend from the 100% physical (real reality) to the 100% digital (virtual reality) and anything in between, with the use of Mixed Reality.

Read more in A Day in the Life of an Architect in the Gradient World.

Education

  • Postdoctoral Researcher (2023), ETH Zurich, DBAUG and DINFK, w/ Prof. Daniel Hall, Prof. Catherine de Wolf, and Prof. Marc Pollefeys
  • Ph.D. (2020), Civil and Environmental Engineering with Minor in Computer Science, Stanford University, w/ Prof. Martin Fischer and Prof. Silvio Savarese
  • MSc (2013), Computer Science, Ionian University
  • MEng (2011), Architectural Engineering, University of Tokyo
  • Diploma (2009), Architectural Engineering, National Technical University of Athens
  • Worked as an architect and consultant for both the private and public sector.

Teaching

  • Designing for Gradient Spaces — CEE342, Stanford, Spring Website
  • Computer Vision for the Built Environment — CEE 247C, Stanford, Winter Website
  • AI Applications in AEC — CEE 329, Stanford, Spring

Academic Publications

Rectified Point Flow: Generic Point Cloud Pose Estimation

Tao Sun*, Liyuan Zhu*, Shengyu Huang, Shuran Song, Iro Armeni

arXiv preprint

ReSpace: Text-Driven 3D Scene Synthesis and Editing with Preference Alignment

Martin JJ. Bucher, Iro Armeni

arXiv preprint

ReStyle3D: Scene-level Appearance Transfer with Semantic Correspondences

Liyuan Zhu, Shengqu Cai*, Shengyu Huang*, Gordon Wetzstein, Naji Khosravan, Iro Armeni

ACM SIGGRAPH 2025

WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments

Jianhao Zheng*, Zihan Zhu*, Valentin Bieri, Marc Pollefeys, Songyou Peng, Iro Armeni

CVPR 2025

CrossOver: Scene Cross-Modal Alignment

Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Dániel Barath, Iro Armeni

CVPR 2025 [Highlight]

LoopSplat: Loop Closure by Registering 3D Gaussian Splats

Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni

3DV 2025 [Oral Presentation]

Multi-Hexplanes: A Lightweight Map Representation for Rendering and 3D Reconstruction

Jianhao Zheng, Gabor Valasek, Daniel Barath, Iro Armeni

WACV 2025 [Oral Presentation]

PDF

MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps

Jianhao Zheng, Daniel Barath, Marc Pollefeys, Iro Armeni

ECCV 2024

"Where am I?" Scene Retrieval with Language

Jiaqi Chen, Daniel Barath, Iro Armeni, Marc Pollefeys, Hermann Blum

ECCV 2024

I-Design: Personalized LLM Interior Designer

Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni*, Anton Obukhov*, Xi Wang*

CV4Metaverse, Workshop in ECCV 2024

Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change

Tao Sun, Yan Hao, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni

ISPRS Journal of Photogrammetry and Remote Sensing 2025

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni

CVPR 2024 [Highlight]

Multiway Point Cloud Mosaicking with Diffusion and Global Optimization

Shengze Jin, Iro Armeni, Marc Pollefeys, Daniel Barath

CVPR 2024

Semantically Guided Feature Matching for Visual SLAM

Oguzhan Ilter, Iro Armeni, Marc Pollefeys, Daniel Barath

ICRA 2024

PDF

Volumetric Semantically Consistent 3D Panoptic Mapping

Yang Miao, Iro Armeni, Marc Pollefeys, Daniel Barath

IROS 2024 Oral Presentation

PDF

Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature

Shengze Jin, Daniel Barath, Marc Pollefeys, Iro Armeni

3DV 2024

PDF

SGAligner: 3D Scene Alignment with Scene Graphs

Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Daniel Barath, Iro Armeni

ICCV 2023

ARrow: A Real-Time AR Rowing Coach

Elena Iannuci, Zhu-Tian Chen, Iro Armeni, Marc Pollefeys, Hanspeter Pfister, Johanna Beyer

EuroVis 2023 [Best Short Paper Honorable Mention Award]

PDF

Learning-Based Relational Object Matching Across Views

Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler

ICRA 2023

PDF

HoloLabel: Augmented Reality User-In-The-Loop Online Annotation Tool for As-Is Building Information

Dhruv Agrawal*, Janik Lobsiger*, Jessica Bo, Véronique Kaufmann, Iro Armeni

EC3 2022

PDF

SemSpray: Virtual Reality As-Is Semantic Information Labeling Tool for 3D Spatial Data

Yiming Zhao*, Cyprien Fol*, Yuchang Jiang, Tianyu Wu, Iro Armeni

EC3 2022

PDF

ImpliCity: City Modeling From Satellite Images with Deep Implicit Occupancy Fields

Corinne Stucker, Bingxin Ke, Yuanwen Yue, Shengyu Huang, Iro Armeni, Konrad Schindler

ISPRS Congress 2022 [Best Young Author Award]

PDF

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation

Bryan Chen*, Alexander Sax*, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto

CoRL 2020

PDF

3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera

Iro Armeni, Jerry Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer, Jitendra Malik, Silvio Savarese

ICCV 2019

SEGCloud: Semantic Segmentation of 3D Point Clouds

Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, Silvio Savarese

3DV 2017 [Spotlight Presentation]

Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Iro Armeni*, Alexander Sax*, Amir R. Zamir, Silvio Savarese

Technical Report 2017

3D Semantic Parsing of Large-Scale Indoor Spaces

Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis Brilakis, Martin Fisher, Silvio Savarese

CVPR 2016 [Oral Presentation]

State of Research in Automatic As-Built Modelling

Viorica Pătrăucean, Iro Armeni, Mohammad Nahangi, Jamie Yeung, Ioannis Brilakis, Carl Haas

Advanced Engineering Informatics 2015

PDF

A dynamic identification of a historical building using accelerometers with interface modules and a digital synchronization method

Luigi Spedicato, Iro Armeni, Nicola Ivan Giannoccaro, Markos Avlonitis, Sozon Papavlasopoulos

Periodical of Key Engineering Materials 2015

PDF

Pedestrian navigation and shortest path: Preference versus distance

Iro Armeni, Konstantinos Chorianopoulos

Workshop, International Conference on Intelligent Environments 2013

PDF

Resume of the thesis "More than a machine" J. A. Coderch

Iro Armeni*, Telesilla Bristogianni*

Technical Chronicles, Technical Chamber of Greece 2020

Contact

📧 iarmeni@stanford.edu

📍 473 Via Ortega, Stanford, Room 233