R. Kenny Jones

According to our database, R. Kenny Jones authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

ParSEL: Parameterized Shape Editing with Language.

Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie

ACM Trans. Graph., December, 2024

Learning to Edit Visual Programs with Self-Supervision.

R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie

CoRR, 2024

Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.

Rio Aguina-Kang, Maxim Gumin, Do Heon Han, Stewart Morris, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Qiuhong Anna Wei, Kailiang Fu, Daniel Ritchie

CoRR, 2024

Learning to Infer Generative Template Programs for Visual Concepts.

R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.

R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie

ACM Trans. Graph., August, 2023

Neurosymbolic Models for Computer Graphics.

Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu

Comput. Graph. Forum, May, 2023

Improving Unsupervised Visual Program Inference with Code Rewriting Families.

Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

SHRED: 3D Shape Region Decomposition with Learned Local Operations.

R. Kenny Jones, Aalia Habib, Daniel Ritchie

ACM Trans. Graph., 2022

PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions.

R. Kenny Jones, Homer Walke, Daniel Ritchie

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

The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference.

R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie

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

2021

ShapeMOD: macro operation discovery for 3D shape programs.

R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie

ACM Trans. Graph., 2021

Learning Body-Aware 3D Shape Generative Models.

Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva

CoRR, 2021

The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes.

R. Kenny Jones, Rana Hanocka, Daniel Ritchie

CoRR, 2021

2020

ShapeAssembly: learning to generate programs for 3D shape structure synthesis.

R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie

ACM Trans. Graph., 2020

Learning to Infer Shape Programs Using Latent Execution Self Training.

Homer Walke, R. Kenny Jones, Daniel Ritchie

CoRR, 2020