TwinWorld | ECCV 2026

TL;DR

TwinWorld brings together researchers and practitioners from computer vision, robotics, geospatial AI, autonomous systems, and construction technology to advance the next generation of built environment digital twins.

The workshop focuses on scalable 3D and 4D scene understanding, multimodal reconstruction, semantic modeling, neural representations, benchmark-driven evaluation, and real-world deployment.

Motivation

Built environment digital twins are emerging as a key technology for autonomous driving, medical modeling, construction monitoring, robotics, and urban analytics. Yet, creating scalable and continuously updated digital twins remains a fundamentally unsolved computer vision challenge.

Current methods and benchmarks often focus on small-scale or controlled scenarios, while real-world environments are dynamic, noisy, and continuously changing. Practical deployment requires robust 3D reconstruction, semantic understanding, topology-aware scene representations, and continuous 4D updating from multimodal observations.

Applications demand high accuracy and reliability, where even centimeter-level errors may impact autonomous vehicle safety, infrastructure inspection, or construction workflows. Furthermore, real-world systems require a combination of implicit and explicit, structured and unstructured representations, together with hierarchical semantics and scene graphs to capture geometry and inter-object relationships across scales.

TwinWorld aims to advance scalable, multimodal, and hierarchical digital twin representations that bridge methodological innovation with real-world deployment across construction, mapping, robotics, autonomous systems, simulation, and beyond.

Topics

3D / 4D Reconstruction

Large-scale multimodal reconstruction and dynamic scene modeling.

Semantic Understanding

Hierarchical segmentation, scene understanding, and scene graphs.

Representations

Neural radiance fields, structured and unstructured, implicit and explicit representations.

Benchmarking

Scalable datasets, cross-domain evaluation, and multimodal robustness.

Applications

Construction monitoring, autonomous driving, robotics, mapping, and digital twin maintenance.

Call for Papers

TwinWorld welcomes original research contributions related to built environment digital twins, large-scale 3D and 4D scene understanding, semantic modeling, neural representations, and real-world deployment.

ECCV 2026 Workshop Papers

TwinWorld Workshop Papers

Call for Papers Coming Soon

We invite submissions presenting novel research in digital twins, 3D reconstruction, semantic scene understanding, Gaussian splatting, multimodal sensing, robotics, autonomous systems, and related topics.

Submission guidelines, important dates, reviewing process, and paper formatting instructions will be announced soon.

Paper Submission Deadline — TBA

Notification to Authors — TBA

Camera Ready Deadline — TBA

Workshop Date — ECCV 2026

Details Coming Soon