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Found 7 papers, 1 papers with code
Encoding Urban Ecologies: Automated Building Archetype Generation through Self-Supervised Learning for Energy Modeling
As the global population and urbanization expand, the building sector has emerged as the predominant energy consumer and carbon emission contributor.
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling.
Mutual Scene Synthesis for Mixed Reality Telepresence
Remote telepresence via next-generation mixed reality platforms can provide higher levels of immersion for computer-mediated communications, allowing participants to engage in a wide spectrum of activities, previously not possible in 2D screen-based communication methods.
Contextual Scene Augmentation and Synthesis via GSACNet
Indoor scene augmentation has become an emerging topic in the field of computer vision and graphics with applications in augmented and virtual reality.
GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion.
SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors
Spatial computing experiences are constrained by the real-world surroundings of the user.
Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction
This limitation is elevated in remote multi-user interaction scenarios, where finding a common virtual ground physically accessible for all participants becomes challenging.
