Alexandros Delitzas — accepted AI-conference papers

2026

FUN REC * Reconstructing Functional 3D Scenes from Egocentric Interaction Videos

Alexandros Delitzas, Chenyangguang Zhang, Alexey Gavryushin, Tommaso Di Mario, Boyang Sun, Rishabh Dabral +5

CVPR 2026

We present FunREC, a method for reconstructing functional 3D digital twins of indoor scenes directly from egocentric RGB-D interaction videos. Unlike existing methods on articulated reconstruction, which rely on controlled setups, multi-state captures, or CAD priors, FunREC operates directly on in-t

Cited by 0 Source ↗code ↗Scholar ↗

2026

REACT3D: Recovering Articulations for Interactive Physical 3D Scenes

Zhao Huang, Boyang Sun, Alexandros Delitzas, Jiaqi Chen, Marc Pollefeys

RA-L 2026

Interactive 3D scenes are increasingly vital for embodied intelligence, yet existing datasets remain limited due to the labor-intensive process of annotating part segmentation, kinematic types, and motion trajectories. We present REACT3D, a scalable zero-shot framework that converts static 3D scenes

Cited by 2 Source ↗Scholar ↗

2026

Search3D: Hierarchical Open-Vocabulary 3D Segmentation

Ayca Takmaz, Alexandros Delitzas, Robert W. Sumner, Francis Engelmann, Johanna Wald, Federico Tombari

ICRA 2026poster

Open-vocabulary 3D segmentation enables the exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying object-level instances in a scene. However, they face challenges when it comes to understanding more fi…

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2025

Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces

Chenyangguang Zhang, Alexandros Delitzas, Fangjinhua Wang, Ruida Zhang, Xiangyang Ji, Marc Pollefeys +1

CVPR 2025highlight

We introduce the task of predicting functional 3D scene graphs for real-world indoor environments from posed RGB-D images. Unlike traditional 3D scene graphs that focus on spatial relationships of objects, functional 3D scene graphs capture objects, interactive elements, and their functional relatio…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2025

Search3D: Hierarchical Open-Vocabulary 3D Segmentation

Ayça Takmaz, Alexandros Delitzas, Robert W. Sumner, Francis Engelmann, Johanna Wald, Federico Tombari

RA-L 2025

Open-vocabulary 3D segmentation enables exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">object</i

Cited by 31 Source ↗Scholar ↗

2024

SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes

Alexandros Delitzas, Ayca Takmaz, Federico Tombari, Robert Sumner, Marc Pollefeys, Francis Engelmann

CVPR 2024poster

Existing 3D scene understanding methods are heavily focused on 3D semantic and instance segmentation. However identifying objects and their parts only constitutes an intermediate step towards a more fine-grained goal which is effectively interacting with the functional interactive elements (e.g. han…

Cited by 35 Source ↗PDF ↗Scholar ↗