Aditya Sanghi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Stationary Wavelet Transform

Message Passing

Visual And Textual Features

Top Venues

Publications

Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh
SLiMe: Segment Like Me. ICLR (2024)
Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu
Make-A-Shape: a Ten-Million-scale 3D Shape Model. CoRR (2024)
Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh
SLiMe: Segment Like Me. CoRR (2023)
Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language. CVPR (2023)
Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. Trans. Mach. Learn. Res. 2023 (2023)
Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri
Learned Visual Features to Textual Explanations. CoRR (2023)
Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. CoRR (2023)
Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CVPR (2022)
Joseph George Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan
Reconstructing editable prismatic CAD from rounded voxel models. SIGGRAPH Asia (2022)
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan
Reconstructing editable prismatic CAD from rounded voxel models. CoRR (2022)
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. CVPR (2022)
Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. CoRR (2022)
Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text. CoRR (2022)
Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
UNIST: Unpaired Neural Implicit Shape Translation Network. CVPR (2022)
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
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CVPR (2022)
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR (2021)
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani
BRepNet: A Topological Message Passing System for Solid Models. CVPR (2021)
Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. CoRR (2021)
Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. ICCV (2021)
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. CoRR (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
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CoRR (2021)
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel Morris
UV-Net: Learning From Boundary Representations. CVPR (2021)
Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CoRR (2021)
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani
BRepNet: A topological message passing system for solid models. CoRR (2021)
Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
UNIST: Unpaired Neural Implicit Shape Translation Network. CoRR (2021)
Aditya Sanghi
Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning. ECCV (29) (2020)
Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR (2020)
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel Morris
UV-Net: Learning from Curve-Networks and Solids. CoRR (2020)
Aditya Sanghi, Pradeep Kumar Jayaraman
How Powerful Are Randomly Initialized Pointcloud Set Functions? CoRR (2020)
Aditya Sanghi
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning. CoRR (2020)