Daniel Ritchie

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 78

Top Topics

Shape Deformation

Generative Model

Interactive Storytelling

Top Venues

ACM Trans. Graph.

Comput. Graph. Forum

Publications

Xiao Zhan, Rao Fu, Daniel Ritchie
CharacterMixer: Rig-Aware Interpolation of 3D Characters. Comput. Graph. Forum 43 (2) (2024)
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)
Qirui Wu, Daniel Ritchie, Manolis Savva, Angel X. Chang
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects. 3DV (2024)
Qirui Wu, Daniel Ritchie, Manolis Savva, Angel X. Chang
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects. CoRR (2024)
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
Learning to Edit Visual Programs with Self-Supervision. CoRR (2024)
Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X. Chang
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding. CoRR (2024)
Yuanbo Li, Tianyi Ma, Zaineb Aljumayaat, Daniel Ritchie
PossibleImpossibles: Exploratory Procedural Design of Impossible Structures. Comput. Graph. Forum 43 (2) (2024)
Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. CoRR (2024)
Xiao Zhan, Rao Fu, Daniel Ritchie
CharacterMixer: Rig-Aware Interpolation of 3D Characters. CoRR (2024)
Xianghao Xu, Aditya Ganeshan, Karl D. D. Willis, Yewen Pu, Daniel Ritchie
Creating Language-driven Spatial Variations of Icon Images. CoRR (2024)
Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. SIGGRAPH Asia (2023)
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)
Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language. CVPR (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)
Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR (2023)
Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala
Editing Motion Graphics Video via Motion Vectorization and Transformation. CoRR (2023)
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
Improving Unsupervised Visual Program Inference with Code Rewriting Families. ICCV (2023)
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CVPR (2023)
Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala
Editing Motion Graphics Video via Motion Vectorization and Transformation. ACM Trans. Graph. 42 (6) (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)
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CoRR (2023)
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. ACL (1) (2022)
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie
Learning to Infer Kinematic Hierarchies for Novel Object Instances. ICRA (2022)
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI (2022)
R. Kenny Jones, Homer Walke, Daniel Ritchie
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. CVPR (2022)
Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections. SIGGRAPH (Conference Paper Track) (2022)
Rao Fu, Xiao Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model. CoRR (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)
Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text. CoRR (2022)
R. Kenny Jones, Aalia Habib, Daniel Ritchie
SHRED: 3D Shape Region Decomposition with Learned Local Operations. ACM Trans. Graph. 41 (6) (2022)
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. ECCV (3) (2022)
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CoRR (2022)
R. Kenny Jones, Aalia Habib, Daniel Ritchie
SHRED: 3D Shape Region Decomposition with Learned Local Operations. CoRR (2022)
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
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. CoRR (2022)
Rao Fu, Xiao Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model. NeurIPS (2022)
Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections. CoRR (2022)
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie
Inferring CAD Modeling Sequences Using Zone Graphs. CoRR (2021)
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts. CoRR (2021)
Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms. CoRR (2021)
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Dimitri Konidaris, Daniel Ritchie
Learning to Infer Kinematic Hierarchies for Novel Object Instances. CoRR (2021)
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)
Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms. Comput. Graph. Forum 40 (5) (2021)
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie
Inferring CAD Modeling Sequences Using Zone Graphs. CVPR (2021)
R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
ShapeMOD: Macro Operation Discovery for 3D Shape Programs. CoRR (2021)
Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. 3DV (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. CoRR (2020)
Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang
Learning Generative Models of 3D Structures. Comput. Graph. Forum 39 (2) (2020)
Homer Walke, R. Kenny Jones, Daniel Ritchie
Learning to Infer Shape Programs Using Latent Execution Self Training. CoRR (2020)
Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. 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)
Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing. CoRR (2020)
Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie
Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing. 3DV (2020)
Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang
GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation. ECCV (26) (2020)
Yifan Liu, Ruolan Tang, Daniel Ritchie
Learning Style Compatibility Between Objects in a Real-World 3D Asset Database. Comput. Graph. Forum 38 (7) (2019)
Daniel Ritchie, Kai Wang, Yu-An Lin
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models. CVPR (2019)
Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang
Learning Generative Models of 3D Structures. Eurographics (Tutorials) (2019)
Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X. Chang, Daniel Ritchie
PlanIT: planning and instantiating indoor scenes with relation graph and spatial prior networks. ACM Trans. Graph. 38 (4) (2019)
Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Learning to Describe Scenes with Programs. ICLR (Poster) (2019)
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
Improving Shape Deformation in Unsupervised Image-to-Image Translation. CoRR (2018)
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. CVPR (2018)
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
Improving Shape Deformation in Unsupervised Image-to-Image Translation. ECCV (12) (2018)
Daniel Ritchie, Sarah Jobalia, Anna Thomas
Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variability. Comput. Graph. Forum 37 (2) (2018)
Kai Wang, Manolis Savva, Angel X. Chang, Daniel Ritchie
Deep convolutional priors for indoor scene synthesis. ACM Trans. Graph. 37 (4) (2018)
Daniel Ritchie, Kai Wang, Yu-An Lin
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models. CoRR (2018)
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum
Learning to Infer Graphics Programs from Hand-Drawn Images. NeurIPS (2018)
Maxime Voisin, Daniel Ritchie
An Improved Training Procedure for Neural Autoregressive Data Completion. CoRR (2017)
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. CoRR (2017)
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Joshua B. Tenenbaum
Learning to Infer Graphics Programs from Hand-Drawn Images. CoRR (2017)
Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah D. Goodman
Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks. CoRR (2016)
Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching. AISTATS (2016)
Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah D. Goodman
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks. NIPS (2016)
Daniel Ritchie, Paul Horsfall, Noah D. Goodman
Deep Amortized Inference for Probabilistic Programs. CoRR (2016)
Daniel Ritchie, Ben Mildenhall, Noah D. Goodman, Pat Hanrahan
Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo. ACM Trans. Graph. 34 (4) (2015)
Daniel Ritchie, Sharon Lin, Noah D. Goodman, Pat Hanrahan
Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programming. Comput. Graph. Forum 34 (2) (2015)
Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching. CoRR (2015)
Zachary DeVito, Daniel Ritchie, Matthew Fisher, Alex Aiken, Pat Hanrahan
First-class runtime generation of high-performance types using exotypes. PLDI (2014)
Sharon Lin, Daniel Ritchie, Matthew Fisher, Pat Hanrahan
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs. ACM Trans. Graph. 32 (4) (2013)
Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas A. Funkhouser, Pat Hanrahan
Example-based synthesis of 3D object arrangements. ACM Trans. Graph. 31 (6) (2012)
Daniel Ritchie, Ankita Arvind Kejriwal, Scott R. Klemmer
d.tour: style-based exploration of design example galleries. UIST (2011)
Martin Wicke, Daniel Ritchie, Bryan Matthew Klingner, Sebastian Burke, Jonathan Richard Shewchuk, James F. O'Brien
Dynamic local remeshing for elastoplastic simulation. ACM Trans. Graph. 29 (4) (2010)
Nuttapong Chentanez, Ron Alterovitz, Daniel Ritchie, Lita Cho, Kris K. Hauser, Kenneth Y. Goldberg, Jonathan Richard Shewchuk, James F. O'Brien
Interactive simulation of surgical needle insertion and steering. ACM Trans. Graph. 28 (3) (2009)