R. Kenny Jones

According to our database, R. Kenny Jones authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

Self-Consistency for LLM-Based Motion Trajectory Generation and Verification.

Jiaju Ma, R. Kenny Jones, Jiajun Wu, Maneesh Agrawala

CoRR, March, 2026

2025

Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation.

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

CoRR, April, 2025

ShapeLib: designing a library of procedural 3D shape abstractions with Large Language Models.

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

CoRR, February, 2025

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples.

Junyu Liu, R. Kenny Jones, Daniel Ritchie

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search.

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

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

2024

ParSEL: Parameterized Shape Editing with Language.

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

ACM Trans. Graph., December, 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 Edit Visual Programs with Self-Supervision.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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