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6 papers · 1 filter
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
Wesley Willett, Bon Adriel Aseniero, Sheelagh Carpendale +4
We explore how the lens of fictional superpowers can help characterize how visualizations empower people and provide inspiration for new visualization systems. Researchers and prac…
Structural Design Recommendations in the Early Design Phase using Machine Learning
Spyridon Ampanavos, Mehdi Nourbakhsh, Chin-Yi Cheng
Structural engineering knowledge can be of significant importance to the architectural design team during the early design phase. However, architects and engineers do not typically…
Robust Representation Learning via Perceptual Similarity Metrics
Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi +1
A fundamental challenge in artificial intelligence is learning useful representations of data that yield good performance on a downstream task, without overfitting to spurious inpu…
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps
Peter Meltzer, Hooman Shayani, Amir Khasahmadi +3
Boundary Representations (B-Reps) are the industry standard in 3D Computer Aided Design/Manufacturing (CAD/CAM) and industrial design due to their fidelity in representing stylisti…
Inferring CAD Modeling Sequences Using Zone Graphs
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng +2
In computer-aided design (CAD), the ability to "reverse engineer" the modeling steps used to create 3D shapes is a long-sought-after goal. This process can be decomposed into two s…
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen David Yang, Jeevana Priya Inala, Osbert Bastani +3
A key challenge for reinforcement learning is solving long-horizon planning problems. Recent work has leveraged programs to guide reinforcement learning in these settings. However,…