Diffusion Based Generative Modelling for Architectural Visualization
PythonDiffusion ModelsControlNetComputer Vision2024
Research conducted at the National University of Singapore under the guidance of Dr Tan Wee Kek. Developed Diffusion and ControlNet based generative models for Interior and Exterior architectural design visualization.
The project explores applying state-of-the-art diffusion-based generative AI techniques to architectural visualization, enabling the generation of realistic interior and exterior design renders from structural inputs using ControlNet conditioning.