Daniel Ritchie

119 papers A* 21A 2Journal 82Unranked 13
YearRankTypeTitle / Venue / Authors
2026 A conf
From Wandering to Collaboration: Discourse Patterns in Middle School Generative AI Use.
LAK
Daniel Ritchie, Nia Nixon, Tamara P. Tate, Mark Warschauer
2026 J jnl
PLLM: Pseudo-Labeling Large Language Models for CAD Program Synthesis.
CoRR
Yuanbo Li, Dule Shu, Yanying Chen, Matt Klenk, Daniel Ritchie
2025 J jnl
GenHSI: Controllable Generation of Human-Scene Interaction Videos.
CoRR
Zekun Li, Rui Zhou, Rahul Sajnani, Xiaoyan Cong, Daniel Ritchie, Srinath Sridhar
2025 A* conf
GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities.
CVPR
Rao Fu, Dingxi Zhang, Alex Jiang, Wanjia Fu, Austin Funk, Daniel Ritchie, Srinath Sridhar
2025 J jnl
Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation.
CoRR
Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie
2025 J jnl
Incorporating generative AI into a writing-intensive undergraduate course without off-loading learning.
Discov. Comput.
Tamara P. Tate, Beth Harnick-Shapiro, Daniel Ritchie, Waverly Tseng, Michael Dennin, Mark Warschauer
2025 J jnl
Learning Object Placement Programs for Indoor Scene Synthesis with Iterative Self Training.
CoRR
Adrian Chang, Kai Wang, Yuanbo Li, Manolis Savva, Angel X. Chang, Daniel Ritchie
2025 J jnl
MiGumi: Making Tightly Coupled Integral Joints Millable.
CoRR
Aditya Ganeshan, Kurt Fleischer, Wenzel Jakob, Ariel Shamir, Daniel Ritchie, Takeo Igarashi, Maria Larsson
2025 J jnl
MiGumi: Making Tightly Coupled Integral Joints Millable.
ACM Trans. Graph.
Aditya Ganeshan, Kurt Fleischer, Wenzel Jakob, Ariel Shamir, Daniel Ritchie, Takeo Igarashi, Maria Larsson
2025 A* conf
PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples.
SIGGRAPH Asia
Junyu Liu, R. Kenny Jones, Daniel Ritchie
2025 J jnl
PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples.
CoRR
Junyu Liu, R. Kenny Jones, Daniel Ritchie
2025 A* conf
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy.
CVPR
Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Mech, Matthew Fisher, Daniel Ritchie
2025 J jnl
PoissonNet: A Local-Global Approach for Learning on Surfaces.
CoRR
Arman Maesumi, Tanish Makadia, Thibault Groueix, Vladimir G. Kim, Daniel Ritchie, Noam Aigerman
2025 J jnl
PoissonNet: A Local-Global Approach for Learning on Surfaces.
ACM Trans. Graph.
Arman Maesumi, Tanish Makadia, Thibault Groueix, Vladimir G. Kim, Daniel Ritchie, Noam Aigerman
2025 J jnl
Probabilistic Isolation of Crystalline Inorganic Phases.
J. Chem. Inf. Model.
Daniel Ritchie, Michael W. Gaultois, Vladimir V. Gusev, Vitaliy Kurlin, Matthew J. Rosseinsky, Matthew S. Dyer
2025 J jnl
ProcTex: Consistent and Interactive Text-to-texture Synthesis for Procedural Models.
CoRR
Ruiqi Xu, Zihan Zhu, Xianghao Xu, Srinath Sridhar, Daniel Ritchie
2025 A* conf
Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search.
SIGGRAPH Asia
Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Kailiang Fu, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie
2025 J jnl
Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search.
CoRR
Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Kailiang Fu, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie
2025 J jnl
Residual Primitive Fitting of 3D Shapes with SuperFrusta.
CoRR
Aditya Ganeshan, Matheus Gadelha, Thibault Groueix, Zhiqin Chen, Siddhartha Chaudhuri, Vladimir G. Kim, Wang Yifan, Daniel Ritchie
2025 J jnl
ShapeLib: designing a library of procedural 3D shape abstractions with Large Language Models.
CoRR
R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2025 — conf
Supporting Middle School English Teachers' AI Literacy Goals Through a Generative AI Tutor.
AIED (6)
Daniel Ritchie, Tamara P. Tate, Yi Zhang, Kristi Werry, Mark Warschauer
2024 J jnl
CLIPtortionist: Zero-shot Text-driven Deformation for Manufactured 3D Shapes.
CoRR
Xianghao Xu, Srinath Sridhar, Daniel Ritchie
2024 J jnl
Can AI provide useful holistic essay scoring?
Comput. Educ. Artif. Intell.
Tamara P. Tate, Jacob Steiss, Drew Bailey, Steve Graham, Youngsun Moon, Daniel Ritchie, Waverly Tseng, Mark Warschauer
2024 J jnl
CharacterMixer: Rig-Aware Interpolation of 3D Characters.
Comput. Graph. Forum
Xiao Zhan, Rao Fu, Daniel Ritchie
2024 J jnl
CharacterMixer: Rig-Aware Interpolation of 3D Characters.
CoRR
Xiao Zhan, Rao Fu, Daniel Ritchie
2024 J jnl
Creating Language-driven Spatial Variations of Icon Images.
CoRR
Xianghao Xu, Aditya Ganeshan, Karl D. D. Willis, Yewen Pu, Daniel Ritchie
2024 J jnl
Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling.
CoRR
Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis Savva, Angel X. Chang
2024 — conf
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects.
3DV
Qirui Wu, Daniel Ritchie, Manolis Savva, Angel X. Chang
2024 J jnl
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects.
CoRR
Qirui Wu, Daniel Ritchie, Manolis Savva, Angel X. Chang
2024 J jnl
GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities.
CoRR
Rao Fu, Dingxi Zhang, Alex Jiang, Wanjia Fu, Austin Funk, Daniel Ritchie, Srinath Sridhar
2024 A* conf
Learning to Edit Visual Programs with Self-Supervision.
NeurIPS
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
2024 J jnl
Learning to Edit Visual Programs with Self-Supervision.
CoRR
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
2024 A* conf
Learning to Infer Generative Template Programs for Visual Concepts.
ICML
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
2024 J jnl
Learning to Infer Generative Template Programs for Visual Concepts.
CoRR
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
2024 J jnl
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns.
CoRR
Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie
2024 J jnl
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns.
ACM Trans. Graph.
Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie
2024 J jnl
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.
CoRR
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
2024 J jnl
ParSEL: Parameterized Shape Editing with Language.
CoRR
Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie
2024 J jnl
ParSEL: Parameterized Shape Editing with Language.
ACM Trans. Graph.
Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie
2024 J jnl
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy.
CoRR
Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Mech, Matthew Fisher, Daniel Ritchie
2024 J jnl
PossibleImpossibles: Exploratory Procedural Design of Impossible Structures.
Comput. Graph. Forum
Yuanbo Li, Tianyi Ma, Zaineb Aljumayaat, Daniel Ritchie
2024 — conf
R3DS: Reality-Linked 3D Scenes for Panoramic Scene Understanding.
ECCV (63)
Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X. Chang
2024 J jnl
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding.
CoRR
Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X. Chang
2023 A* conf
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language.
CVPR
Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie
2023 J jnl
Editing Motion Graphics Video via Motion Vectorization and Transformation.
CoRR
Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala
2023 J jnl
Editing Motion Graphics Video via Motion Vectorization and Transformation.
ACM Trans. Graph.
Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala
2023 A* conf
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.
SIGGRAPH Asia
Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
2023 J jnl
Explorable Mesh Deformation Subspaces from Unstructured Generative Models.
CoRR
Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie
2023 A* conf
Improving Unsupervised Visual Program Inference with Code Rewriting Families.
ICCV
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
2023 J jnl
Improving Unsupervised Visual Program Inference with Code Rewriting Families.
CoRR
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
2023 J jnl
Neurosymbolic Models for Computer Graphics.
Comput. Graph. Forum
Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu
2023 J jnl
Neurosymbolic Models for Computer Graphics.
CoRR
Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu
2023 J jnl
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.
CoRR
R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2023 J jnl
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.
ACM Trans. Graph.
R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2023 A* conf
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.
CVPR
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
2023 J jnl
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.
CoRR
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
2022 — conf
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
ACL (1)
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
2022 J jnl
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
CoRR
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
2022 A* conf
Learning to Infer Kinematic Hierarchies for Novel Object Instances.
ICRA
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie
2022 A* conf
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions.
CVPR
R. Kenny Jones, Homer Walke, Daniel Ritchie
2022 J jnl
SHRED: 3D Shape Region Decomposition with Learned Local Operations.
CoRR
R. Kenny Jones, Aalia Habib, Daniel Ritchie
2022 J jnl
SHRED: 3D Shape Region Decomposition with Learned Local Operations.
ACM Trans. Graph.
R. Kenny Jones, Aalia Habib, Daniel Ritchie
2022 A* conf
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model.
NeurIPS
Rao Fu, Xiao Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar
2022 J jnl
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model.
CoRR
Rao Fu, Xiao Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar
2022 A* conf
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
CHI
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
2022 J jnl
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
CoRR
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
2022 J jnl
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text.
CoRR
Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie
2022 A* conf
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference.
CVPR
R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie
2022 — conf
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts.
ECCV (3)
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
2022 — conf
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections.
SIGGRAPH (Conference Paper Track)
Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie
2022 J jnl
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections.
CoRR
Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie
2021 A* conf
Inferring CAD Modeling Sequences Using Zone Graphs.
CVPR
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie
2021 J jnl
Inferring CAD Modeling Sequences Using Zone Graphs.
CoRR
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie
2021 J jnl
Learning Body-Aware 3D Shape Generative Models.
CoRR
Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva
2021 J jnl
Learning to Infer Kinematic Hierarchies for Novel Object Instances.
CoRR
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Dimitri Konidaris, Daniel Ritchie
2021 J jnl
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms.
Comput. Graph. Forum
Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie
2021 J jnl
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms.
CoRR
Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie
2021 J jnl
ShapeMOD: Macro Operation Discovery for 3D Shape Programs.
CoRR
R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2021 J jnl
ShapeMOD: macro operation discovery for 3D shape programs.
ACM Trans. Graph.
R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2021 J jnl
The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes.
CoRR
R. Kenny Jones, Rana Hanocka, Daniel Ritchie
2021 J jnl
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts.
CoRR
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
2020 J jnl
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation.
CoRR
Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang
2020 — conf
GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation.
ECCV (26)
Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang
2020 J jnl
Learning Generative Models of 3D Structures.
Comput. Graph. Forum
Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang
2020 J jnl
Learning to Infer Shape Programs Using Latent Execution Self Training.
CoRR
Homer Walke, R. Kenny Jones, Daniel Ritchie
2020 — conf
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections.
3DV
Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie
2020 J jnl
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing.
CoRR
Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie
2020 — conf
Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing.
3DV
Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie
2020 J jnl
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis.
CoRR
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2020 J jnl
ShapeAssembly: learning to generate programs for 3D shape structure synthesis.
ACM Trans. Graph.
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2019 A* conf
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models.
CVPR
Daniel Ritchie, Kai Wang, Yu-An Lin
2019 — conf
Learning Generative Models of 3D Structures.
Eurographics (Tutorials)
Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang
2019 J jnl
Learning Style Compatibility Between Objects in a Real-World 3D Asset Database.
Comput. Graph. Forum
Yifan Liu, Ruolan Tang, Daniel Ritchie
2019 — conf
Learning to Describe Scenes with Programs.
ICLR (Poster)
Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
2019 J jnl
PlanIT: planning and instantiating indoor scenes with relation graph and spatial prior networks.
ACM Trans. Graph.
Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X. Chang, Daniel Ritchie
2018 J jnl
Deep convolutional priors for indoor scene synthesis.
ACM Trans. Graph.
Kai Wang, Manolis Savva, Angel X. Chang, Daniel Ritchie
2018 J jnl
Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variability.
Comput. Graph. Forum
Daniel Ritchie, Sarah Jobalia, Anna Thomas
2018 J jnl
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models.
CoRR
Daniel Ritchie, Kai Wang, Yu-An Lin
2018 — conf
Improving Shape Deformation in Unsupervised Image-to-Image Translation.
ECCV (12)
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
2018 J jnl
Improving Shape Deformation in Unsupervised Image-to-Image Translation.
CoRR
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
2018 A* conf
Learning to Infer Graphics Programs from Hand-Drawn Images.
NeurIPS
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum
2018 A* conf
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans.
CVPR
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner
2017 J jnl
An Improved Training Procedure for Neural Autoregressive Data Completion.
CoRR
Maxime Voisin, Daniel Ritchie
2017 J jnl
Learning to Infer Graphics Programs from Hand-Drawn Images.
CoRR
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Joshua B. Tenenbaum
2017 J jnl
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans.
CoRR
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner
2016 A conf
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching.
AISTATS
Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman
2016 J jnl
Deep Amortized Inference for Probabilistic Programs.
CoRR
Daniel Ritchie, Paul Horsfall, Noah D. Goodman
2016 — conf
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks.
NIPS
Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah D. Goodman
2016 J jnl
Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks.
CoRR
Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah D. Goodman
2016 — —
Probabilistic programming for procedural modeling and design.
Daniel Ritchie
2015 J jnl
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching.
CoRR
Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman
2015 J jnl
Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo.
ACM Trans. Graph.
Daniel Ritchie, Ben Mildenhall, Noah D. Goodman, Pat Hanrahan
2015 J jnl
Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programming.
Comput. Graph. Forum
Daniel Ritchie, Sharon Lin, Noah D. Goodman, Pat Hanrahan
2014 A* conf
First-class runtime generation of high-performance types using exotypes.
PLDI
Zachary DeVito, Daniel Ritchie, Matthew Fisher, Alex Aiken, Pat Hanrahan
2013 J jnl
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs.
ACM Trans. Graph.
Sharon Lin, Daniel Ritchie, Matthew Fisher, Pat Hanrahan
2012 J jnl
Example-based synthesis of 3D object arrangements.
ACM Trans. Graph.
Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas A. Funkhouser, Pat Hanrahan
2011 A* conf
d.tour: style-based exploration of design example galleries.
UIST
Daniel Ritchie, Ankita Arvind Kejriwal, Scott R. Klemmer
2010 J jnl
Dynamic local remeshing for elastoplastic simulation.
ACM Trans. Graph.
Martin Wicke, Daniel Ritchie, Bryan Matthew Klingner, Sebastian Burke, Jonathan Richard Shewchuk, James F. O'Brien
2009 J jnl
Interactive simulation of surgical needle insertion and steering.
ACM Trans. Graph.
Nuttapong Chentanez, Ron Alterovitz, Daniel Ritchie, Lita Cho, Kris K. Hauser, Kenneth Y. Goldberg, Jonathan Richard Shewchuk, James F. O'Brien