Joseph G. Lambourne

According to our database, Joseph G. Lambourne authored at least 21 papers between 2005 and 2024.

Collaborative distances:

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

2024

BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry.

Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D. D. Willis, Yasutaka Furukawa

ACM Trans. Graph., July, 2024

What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files.

Peter Meltzer, Joseph G. Lambourne, Daniele Grandi

J. Comput. Inf. Sci. Eng., January, 2024

How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?

Saeid Asgari Taghanaki, Joseph G. Lambourne, Alana Mongkhounsavath

CoRR, 2024

Detecting Generative Parroting through Overfitting Masked Autoencoders.

Saeid Asgari Taghanaki, Joseph G. Lambourne

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

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

What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files.

Peter Meltzer, Joseph G. Lambourne, Daniele Grandi

CoRR, 2023

Hierarchical Neural Coding for Controllable CAD Model Generation.

Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D. D. Willis, Yasutaka Furukawa

Proceedings of the International Conference on Machine Learning, 2023

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

SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks.

Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa

Proceedings of the International Conference on Machine Learning, 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

2021

Fusion 360 gallery: a dataset and environment for programmatic CAD construction from human design sequences.

Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

ACM Trans. Graph., 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

Engineering Sketch Generation for Computer-Aided Design.

Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu

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

Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction.

Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

CoRR, 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

2005

Calculation and Visualisation of the Thickness of 3D CAD Models.

Joseph G. Lambourne, Djordje Brujic, Z. Djuric, Mihailo Ristic

Proceedings of the 2005 International Conference on Shape Modeling and Applications (SMI 2005), 2005