Aditya Sanghi

According to our database, Aditya Sanghi authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

SolidGen: An Autoregressive Model for Direct B-rep Synthesis.

Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris

Trans. Mach. Learn. Res., 2023

SLiMe: Segment Like Me.

Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh

CoRR, 2023

Learned Visual Features to Textual Explanations.

Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri

CoRR, 2023

Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation.

Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki

CoRR, 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 Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text.

Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie

CoRR, 2022

Reconstructing editable prismatic CAD from rounded voxel models.

Joseph George Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

UNIST: Unpaired Neural Implicit Shape Translation Network.

Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Group-disentangled Representation Learning with Weakly-Supervised Regularization.

Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki

CoRR, 2021

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

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

CoRR, 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 G. Lambourne

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UV-Net: Learning From Boundary Representations.

Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

UV-Net: Learning from Curve-Networks and Solids.

Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel J. W. Morris

CoRR, 2020

Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders.

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

CoRR, 2020

How Powerful Are Randomly Initialized Pointcloud Set Functions?

Aditya Sanghi, Pradeep Kumar Jayaraman

CoRR, 2020

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

Aditya Sanghi

Proceedings of the Computer Vision - ECCV 2020, 2020