Sanghi, Aditya

15 publications

ICML 2024 Make-a-Shape: A Ten-Million-Scale 3D Shape Model Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu

ICLRW 2024 Model & Data Insights Using Pre-Trained Language Models Saeid Asgari, Aliasghar Khani, Amir Hosein Khasahmadi, Aditya Sanghi, Karl D.D. Willis, Ali Mahdavi Amiri

ICLR 2024 SLiMe: Segment like Me Aliasghar Khani, Saeid Asgari, Aditya Sanghi, Ali Mahdavi Amiri, Ghassan Hamarneh

ICLRW 2024 Texplain: Post-Hoc Textual Explanation of Image Classifiers with Pre-Trained Language Models Saeid Asgari, Aliasghar Khani, Amir Hosein Khasahmadi, Aditya Sanghi, Karl D.D. Willis, Ali Mahdavi Amiri

CVPR 2023 CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language Aditya Sanghi, Rao Fu, Vivian Liu, Karl D.D. Willis, Hooman Shayani, Amir H. Khasahmadi, Srinath Sridhar, Daniel Ritchie

TMLR 2023 SolidGen: An Autoregressive Model for Direct B-Rep Synthesis Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl Willis, Aditya Sanghi, Nigel J. W. Morris

CVPR 2022 CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

CVPR 2022 CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan

CVPR 2022 JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints 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

NeurIPSW 2022 Neural Implicit Style-Net: Synthesizing Shapes in a Preferred Style Exploiting Self Supervision Marco Fumero, Hooman Shayani, Aditya Sanghi, Emanuele Rodolà

CVPR 2022 UNIST: Unpaired Neural Implicit Shape Translation Network Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

CVPR 2021 BRepNet: A Topological Message Passing System for Solid Models Joseph G. Lambourne, Karl D.D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani

CVPR 2021 UV-Net: Learning from Boundary Representations Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D.D. Willis, Thomas Davies, Hooman Shayani, Nigel Morris

ICCV 2021 UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne

ECCV 2020 Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning Aditya Sanghi