Articles with public access mandates - Daniel RitchieLearn more
Available somewhere: 24
Learning to infer graphics programs from hand-drawn images
K Ellis, D Ritchie, A Solar-Lezama, J Tenenbaum
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation, US Department of Defense
Deep convolutional priors for indoor scene synthesis
K Wang, M Savva, AX Chang, D Ritchie
ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018
Mandates: German Research Foundation
Interactive simulation of surgical needle insertion and steering
N Chentanez, R Alterovitz, D Ritchie, L Cho, KK Hauser, K Goldberg, ...
ACM SIGGRAPH 2009 papers, 1-10, 2009
Mandates: US National Institutes of Health
Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks
K Wang, YA Lin, B Weissmann, M Savva, AX Chang, D Ritchie
ACM Transactions on Graphics (TOG) 38 (4), 1-15, 2019
Mandates: US National Science Foundation, German Research Foundation
Fast and flexible indoor scene synthesis via deep convolutional generative models
D Ritchie, K Wang, Y Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US National Science Foundation
Shapeassembly: Learning to generate programs for 3d shape structure synthesis
RK Jones, T Barton, X Xu, K Wang, E Jiang, P Guerrero, NJ Mitra, ...
ACM Transactions on Graphics (TOG) 39 (6), 1-20, 2020
Mandates: US National Science Foundation
Improving shape deformation in unsupervised image-to-image translation
A Gokaslan, V Ramanujan, D Ritchie, KI Kim, J Tompkin
Proceedings of the European Conference on Computer Vision (ECCV), 649-665, 2018
Mandates: UK Research & Innovation
Learning generative models of 3d structures
S Chaudhuri, D Ritchie, J Wu, K Xu, H Zhang
Computer graphics forum 39 (2), 643-666, 2020
Mandates: National Natural Science Foundation of China
Shapecrafter: A recursive text-conditioned 3d shape generation model
R Fu, X Zhan, Y Chen, D Ritchie, S Sridhar
Advances in Neural Information Processing Systems 35, 8882-8895, 2022
Mandates: US National Science Foundation, US Department of Defense
Learning to describe scenes with programs
Y Liu, Z Wu
International conference on learning representations, 2019
Mandates: US National Science Foundation, German Research Foundation
Shapemod: Macro operation discovery for 3d shape programs
RK Jones, D Charatan, P Guerrero, NJ Mitra, D Ritchie
ACM Transactions on Graphics (TOG) 40 (4), 1-16, 2021
Mandates: US National Science Foundation, European Commission
Neurosymbolic models for computer graphics
D Ritchie, P Guerrero, RK Jones, NJ Mitra, A Schulz, KDD Willis, J Wu
Computer graphics forum 42 (2), 545-568, 2023
Mandates: US National Science Foundation
Example‐based authoring of procedural modeling programs with structural and continuous variability
D Ritchie, S Jobalia, A Thomas
Computer Graphics Forum 37 (2), 401-413, 2018
Mandates: US Department of Defense
Plad: Learning to infer shape programs with pseudo-labels and approximate distributions
RK Jones, H Walke, D Ritchie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation
Shapecoder: Discovering abstractions for visual programs from unstructured primitives
RK Jones, P Guerrero, NJ Mitra, D Ritchie
ACM Transactions on Graphics (TOG) 42 (4), 1-17, 2023
Mandates: US National Science Foundation, European Commission
Unsupervised kinematic motion detection for part-segmented 3d shape collections
X Xu, Y Ruan, S Sridhar, D Ritchie
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
Mandates: US National Science Foundation
Learning to infer kinematic hierarchies for novel object instances
H Abdul-Rashid, M Freeman, B Abbatematteo, G Konidaris, D Ritchie
2022 International Conference on Robotics and Automation (ICRA), 8461-8467, 2022
Mandates: US National Science Foundation, US Department of Defense
The neurally-guided shape parser: Grammar-based labeling of 3d shape regions with approximate inference
RK Jones, A Habib, R Hanocka, D Ritchie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation
Unsupervised 3D shape reconstruction by part retrieval and assembly
X Xu, P Guerrero, M Fisher, S Chaudhuri, D Ritchie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US National Science Foundation
The shape part slot machine: Contact-based reasoning for generating 3D shapes from parts
K Wang, P Guerrero, VG Kim, S Chaudhuri, M Sung, D Ritchie
European Conference on Computer Vision, 610-626, 2022
Mandates: US National Science Foundation
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