Pradeep Kumar Jayaraman

52 papers A* 11A 1C 1Journal 35Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Draw it like Euclid: Teaching transformer models to generate CAD profiles using ruler and compass construction steps.
CoRR
Siyi Li, Joseph G. Lambourne, Longfei Zhang, Pradeep Kumar Jayaraman, Karl D. D. Willis
2026 A* conf
MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation.
AAAI
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2025 J jnl
Aligning Constraint Generation with Design Intent in Parametric CAD.
CoRR
Evan Casey, Tianyu Zhang, Shu Ishida, John Roger Thompson, Amir Khasahmadi, Joseph George Lambourne, Pradeep Kumar Jayaraman, Karl D. D. Willis
2025 A* conf
AutoBrep : Autoregressive B-Rep Generation with Unified Topology and Geometry.
SIGGRAPH Asia
Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Yilin Liu, Durvesh Malpure, Pete Meltzer
2025 J jnl
AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry.
CoRR
Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Yilin Liu, Durvesh Malpure, Peter Meltzer
2025 J jnl
B-Rep Distance Functions (BR-DF): How to Represent a B-Rep Model by Volumetric Distance Functions?
CoRR
Fuyang Zhang, Pradeep Kumar Jayaraman, Xiang Xu, Yasutaka Furukawa
2025 A* conf
Deep Generative Model for Mechanical System Configuration Design.
AAAI
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2025 J jnl
MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation.
CoRR
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2025 J jnl
Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method.
CoRR
Mehran Ebrahimi, Hyunmin Cheong, Pradeep Kumar Jayaraman, Farhad Javid
2025 J jnl
e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration.
CoRR
Hyunmin Cheong, Mohammadmehdi Ataei, Amir Hosein Khasahmadi, Pradeep Kumar Jayaraman
2024 J jnl
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes.
CoRR
Tejaswini Medi, Arianna Rampini, Pradyumna Reddy, Pradeep Kumar Jayaraman, Margret Keuper
2024 J jnl
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry.
CoRR
Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D. D. Willis, Yasutaka Furukawa
2024 J jnl
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry.
ACM Trans. Graph.
Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D. D. Willis, Yasutaka Furukawa
2024 — conf
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches.
ECCV (70)
Sifan Wu, Amir Hosein Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu
2024 J jnl
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches.
CoRR
Sifan Wu, Amir Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu
2024 J jnl
Deep Generative Model for Mechanical System Configuration Design.
CoRR
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2024 J jnl
HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design.
J. Comput. Inf. Sci. Eng.
Shijie Bian, Daniele Grandi, Tianyang Liu, Pradeep Kumar Jayaraman, Karl D. D. Willis, Elliot Sadler, Bodia Borijin, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
2023 J jnl
BeNTO: Beam Network Topology Optimization.
Comput. Aided Des.
Nigel J. W. Morris, Pradeep Kumar Jayaraman, Adrian Butscher
2023 A* conf
Hierarchical Neural Coding for Controllable CAD Model Generation.
ICML
Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D. D. Willis, Yasutaka Furukawa
2023 J jnl
Hierarchical Neural Coding for Controllable CAD Model Generation.
CoRR
Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa
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
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
Neon: A Multi-GPU Programming Model for Grid-based Computations.
IPDPS
Massimiliano Meneghin, Ahmed H. Mahmoud, Pradeep Kumar Jayaraman, Nigel J. W. Morris
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 A* conf
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks.
ICML
Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa
2022 J jnl
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks.
CoRR
Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa
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
Truncated octree and its applications.
Vis. Comput.
Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng
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 — conf
Engineering Sketch Generation for Computer-Aided Design.
CVPR Workshops
Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu
2021 J jnl
Engineering Sketch Generation for Computer-Aided Design.
CoRR
Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu
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 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 C conf
Parallel Point Cloud Compression Using Truncated Octree.
CW
Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng
2020 J jnl
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing.
CoRR
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis
2020 J jnl
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers.
CoRR
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula
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
2018 J jnl
An image processing approach to feature-preserving B-spline surface fairing.
Comput. Aided Des.
Taro Kawasaki, Pradeep Kumar Jayaraman, Kentaro Shida, Jianmin Zheng, Takashi Maekawa
2018 J jnl
Embedding QR codes onto B-spline surfaces for 3D printing.
Comput. Aided Des.
Ryosuke Kikuchi, Sora Yoshikawa, Pradeep Kumar Jayaraman, Jianmin Zheng, Takashi Maekawa
2018 J jnl
Globally Consistent Wrinkle-Aware Shading of Line Drawings.
IEEE Trans. Vis. Comput. Graph.
Pradeep Kumar Jayaraman, Chi-Wing Fu, Jianmin Zheng, Xueting Liu, Tien-Tsin Wong
2018 — conf
Quadtree Convolutional Neural Networks.
ECCV (6)
Pradeep Kumar Jayaraman, Jianhan Mei, Jianfei Cai, Jianmin Zheng
2017 — —
Computational design tools for cartooning
Pradeep Kumar Jayaraman
2017 J jnl
Interactive High-Relief Reconstruction for Organic and Double-Sided Objects from a Photo.
IEEE Trans. Vis. Comput. Graph.
Chih-Kuo Yeh, Shi-Yang Huang, Pradeep Kumar Jayaraman, Chi-Wing Fu, Tong-Yee Lee
2015 J jnl
2.5D Cartoon Hair Modeling and Manipulation.
IEEE Trans. Vis. Comput. Graph.
Chih-Kuo Yeh, Pradeep Kumar Jayaraman, Xiaopei Liu, Chi-Wing Fu, Tong-Yee Lee
2015 J jnl
Computational interlocking furniture assembly.
ACM Trans. Graph.
Chi-Wing Fu, Peng Song, Xiaoqi Yan, Lee Wei Yang, Pradeep Kumar Jayaraman, Daniel Cohen-Or
2014 A* conf
Interactive Line Drawing Recognition and Vectorization with Commodity Camera.
ACM Multimedia
Pradeep Kumar Jayaraman, Chi-Wing Fu