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R. Kenny Jones
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2020 – today
- 2024
- [c4]R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie:
Learning to Infer Generative Template Programs for Visual Concepts. ICML 2024 - [i13]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 abs/2403.09675 (2024) - [i12]R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie:
Learning to Infer Generative Template Programs for Visual Concepts. CoRR abs/2403.15476 (2024) - [i11]Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie:
ParSEL: Parameterized Shape Editing with Language. CoRR abs/2405.20319 (2024) - [i10]R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie:
Learning to Edit Visual Programs with Self-Supervision. CoRR abs/2406.02383 (2024) - 2023
- [j5]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): 545-568 (2023) - [j4]R. Kenny Jones
, Paul Guerrero
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives. ACM Trans. Graph. 42(4): 49:1-49:17 (2023) - [c3]Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie:
Improving Unsupervised Visual Program Inference with Code Rewriting Families. ICCV 2023: 15745-15755 - [i9]Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu:
Neurosymbolic Models for Computer Graphics. CoRR abs/2304.10320 (2023) - [i8]R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie:
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives. CoRR abs/2305.05661 (2023) - [i7]Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie:
Improving Unsupervised Visual Program Inference with Code Rewriting Families. CoRR abs/2309.14972 (2023) - 2022
- [j3]R. Kenny Jones
SHRED: 3D Shape Region Decomposition with Learned Local Operations. ACM Trans. Graph. 41(6): 186:1-186:11 (2022) - [c2]R. Kenny Jones
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. CVPR 2022: 9861-9870 - [c1]R. Kenny Jones
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference. CVPR 2022: 11604-11613 - [i6]R. Kenny Jones, Aalia Habib, Daniel Ritchie:
SHRED: 3D Shape Region Decomposition with Learned Local Operations. CoRR abs/2206.03480 (2022) - 2021
- [j2]R. Kenny Jones
ShapeMOD: macro operation discovery for 3D shape programs. ACM Trans. Graph. 40(4): 153:1-153:16 (2021) - [i5]R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie:
ShapeMOD: Macro Operation Discovery for 3D Shape Programs. CoRR abs/2104.06392 (2021) - [i4]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 abs/2106.12026 (2021) - [i3]Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva:
Learning Body-Aware 3D Shape Generative Models. CoRR abs/2112.07022 (2021) - 2020
- [j1]R. Kenny Jones
ShapeAssembly: learning to generate programs for 3D shape structure synthesis. ACM Trans. Graph. 39(6): 234:1-234:20 (2020) - [i2]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 abs/2009.08026 (2020) - [i1]Homer Walke
Learning to Infer Shape Programs Using Latent Execution Self Training. CoRR abs/2011.13045 (2020)
Coauthor Index
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