R. Kenny Jones

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Computer Graphics

Technical Point Of View

Object Databases

Top Venues

ACM Trans. Graph.

Comput. Graph. Forum

Publications

R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
Learning to Infer Generative Template Programs for Visual Concepts. CoRR (2024)
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
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases. CoRR (2024)
Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie
ParSEL: Parameterized Shape Editing with Language. CoRR (2024)
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
Learning to Edit Visual Programs with Self-Supervision. CoRR (2024)
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
Improving Unsupervised Visual Program Inference with Code Rewriting Families. CoRR (2023)
R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives. CoRR (2023)
R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives. ACM Trans. Graph. 42 (4) (2023)
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
Improving Unsupervised Visual Program Inference with Code Rewriting Families. ICCV (2023)
Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu
Neurosymbolic Models for Computer Graphics. Comput. Graph. Forum 42 (2) (2023)
Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu
Neurosymbolic Models for Computer Graphics. CoRR (2023)
R. Kenny Jones, Homer Walke, Daniel Ritchie
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. CVPR (2022)
R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference. CVPR (2022)
R. Kenny Jones, Aalia Habib, Daniel Ritchie
SHRED: 3D Shape Region Decomposition with Learned Local Operations. ACM Trans. Graph. 41 (6) (2022)
R. Kenny Jones, Aalia Habib, Daniel Ritchie
SHRED: 3D Shape Region Decomposition with Learned Local Operations. CoRR (2022)
R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeMOD: macro operation discovery for 3D shape programs. ACM Trans. Graph. 40 (4) (2021)
R. Kenny Jones, Rana Hanocka, Daniel Ritchie
The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes. CoRR (2021)
Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva
Learning Body-Aware 3D Shape Generative Models. CoRR (2021)
R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeMOD: Macro Operation Discovery for 3D Shape Programs. CoRR (2021)
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis. CoRR (2020)
Homer Walke, R. Kenny Jones, Daniel Ritchie
Learning to Infer Shape Programs Using Latent Execution Self Training. CoRR (2020)
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeAssembly: learning to generate programs for 3D shape structure synthesis. ACM Trans. Graph. 39 (6) (2020)