Aditya Sanghi - RankMe

32 papers A* 11Journal 20Unranked 1

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