Shayani, Hooman

8 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

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

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

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