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JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

Nov 24, 2021
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

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Group-disentangled Representation Learning with Weakly-Supervised Regularization

Oct 23, 2021
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari

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CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

Oct 06, 2021
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero

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UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps

Apr 28, 2021
Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne

* 13 pages, 20 figures, 5 tables 

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CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly

Apr 12, 2021
Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

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BRepNet: A topological message passing system for solid models

Apr 08, 2021
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani

* CVPR 2021 Oral 

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UV-Net: Learning from Curve-Networks and Solids

Jun 18, 2020
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne, Thomas Davies, Hooman Shayani, Nigel Morris

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Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning

Jun 04, 2020
Aditya Sanghi

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Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders

May 12, 2020
Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis

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How Powerful Are Randomly Initialized Pointcloud Set Functions?

Mar 11, 2020
Aditya Sanghi, Pradeep Kumar Jayaraman

* 6 pages, 2 figures, NeurIPS 2019 Sets & Partitions Workshop 

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