16 citations · 31 across the 5 of their papers we have counts for
4 papers · 1 filter
DC3DO: Diffusion Classifier for 3D Objects
Nursena Koprucu, Meher Shashwat Nigam, Shicheng Xu +6
Inspired by Geoffrey Hinton emphasis on generative modeling, To recognize shapes, first learn to generate them, we explore the use of 3D diffusion models for object classification.…
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
Gimin Nam, Mariem Khlifi, Andrew Rodriguez +3
Diffusion models have shown great promise for image generation, beating GANs in terms of generation diversity, with comparable image quality. However, their application to 3D shape…
Vitruvio: 3D Building Meshes via Single Perspective Sketches
Alberto Tono, Heyaojing Huang, Ashwin Agrawal +1
Today's architectural engineering and construction (AEC) software require a learning curve to generate a three-dimension building representation. This limits the ability to quickly…
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam +4
With the growing interest in deep learning algorithms and computational design in the architectural field, the need for large, accessible and diverse architectural datasets increas…