18 citations · 59 across the 9 of their papers we have counts for
10 papers
Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design
Jaechang Ko, John Ajibefun, Wei Yan
This paper introduces a new architectural design framework that utilizes generative AI tools including ChatGPT and Veras with parametric modeling and Building Information Modeling…
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System
Shu-Hao Yeh, Shuangyu Xie, Di Wang +2
Optical Image Stabilization (OIS) system in mobile devices reduces image blurring by steering lens to compensate for hand jitters. However, OIS changes intrinsic camera parameters…
An Augmented Reality Application and User Study for Understanding and Learning Spatial Transformation Matrices
Zohreh Shaghaghian, Heather Burte, Dezhen Song +1
Understanding spatial transformations and their mathematical representations are essential in computer-aided design, robotics, etc. This research has developed and tested an Augmen…
BIMxAR: BIM-Empowered Augmented Reality for Learning Architectural Representations
Ziad Ashour, Zohreh Shaghaghian, Wei Yan
Literature review shows limited research investigating the utilization of Augmented Reality (AR) to improve learning and understanding architectural representations, specifically s…
BIM LOD + Virtual Reality -- Using Game Engine for Visualization in Architectural & Construction Education
Hassan Anifowose, Wei Yan, Manish Dixit
Architectural Education faces limitations due to its tactile approach to learning in classrooms with only 2-D and 3-D tools. At a higher level, virtual reality provides a potential…
Learning Geometric Transformations for Parametric Design: An Augmented Reality (AR)-Powered Approach
Zohreh Shaghaghian, Heather Burte, Dezhen Song +1
Despite the remarkable development of parametric modeling methods for architectural design, a significant problem still exists, which is the lack of knowledge and skill regarding t…
Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
Farnaz Nazari, Wei Yan
A building self-shading shape impacts substantially on the amount of direct sunlight received by the building and contributes significantly to building operational energy use, in a…
Towards Learning Geometric Transformations through Play: An AR-powered approach
Zohreh Shaghaghian, Wei Yan, Dezhen Song
Despite the excessive developments of architectural parametric platforms, parametric design is often interpreted as an architectural style rather than a computational method. Also,…
BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning
Mohammad Alawadhi, Wei Yan
Deep learning is expected to offer new opportunities and a new paradigm for the field of architecture. One such opportunity is teaching neural networks to visually understand archi…
Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset
Zohreh Shaghaghian, Wei Yan
Most design methods contain a forward framework, asking for primary specifications of a building to generate an output or assess its performance. However, architects urge for speci…