Geometry-aware generation of adversarial point clouds
Machine learning models have been shown to be vulnerable to adversarial examples. While
most of the existing methods for adversarial attack and defense work on the 2D image …
most of the existing methods for adversarial attack and defense work on the 2D image …
Evolving a psycho-physical distance metric for generative design exploration of diverse shapes
In this paper, a generative design approach is proposed that involves the users'
psychological aspect in the design space exploration stage to create distinct design …
psychological aspect in the design space exploration stage to create distinct design …
Polygons, points, or voxels? stimuli selection for crowdsourcing aesthetics preferences of 3D shape pairs
Visual aesthetics is one of the fundamental perceptual properties of 3D shapes. Since the
perception of shape aesthetics can be subjective, we take a data-driven approach and …
perception of shape aesthetics can be subjective, we take a data-driven approach and …
[KNIHA][B] Data-Driven Modelling of Perceptual Properties of 3D Shapes
K Dev - 2018 - search.proquest.com
The recent surge in 3D content generation has led to the evolution of difficult to search,
organise and re-use massive online 3D visual content libraries. We explore crowdsourcing …
organise and re-use massive online 3D visual content libraries. We explore crowdsourcing …