Daniel Ritchie

Orcid: 0000-0002-8253-0069

According to our database1, Daniel Ritchie authored at least 58 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Learning to Infer Generative Template Programs for Visual Concepts.
CoRR, 2024

R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding.
CoRR, 2024

Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.
CoRR, 2024

CharacterMixer: Rig-Aware Interpolation of 3D Characters.
CoRR, 2024

Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects.
CoRR, 2024

2023
Editing Motion Graphics Video via Motion Vectorization and Transformation.
ACM Trans. Graph., December, 2023

ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.
ACM Trans. Graph., August, 2023

Neurosymbolic Models for Computer Graphics.
Comput. Graph. Forum, May, 2023

Explorable Mesh Deformation Subspaces from Unstructured Generative Models.
CoRR, 2023

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Improving Unsupervised Visual Program Inference with Code Rewriting Families.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SHRED: 3D Shape Region Decomposition with Learned Local Operations.
ACM Trans. Graph., 2022

TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text.
CoRR, 2022

Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Infer Kinematic Hierarchies for Novel Object Instances.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts.
Proceedings of the Computer Vision - ECCV 2022, 2022

PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
ShapeMOD: macro operation discovery for 3D shape programs.
ACM Trans. Graph., 2021

Learning Body-Aware 3D Shape Generative Models.
CoRR, 2021

The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes.
CoRR, 2021

Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms.
Comput. Graph. Forum, 2021

Inferring CAD Modeling Sequences Using Zone Graphs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ShapeAssembly: learning to generate programs for 3D shape structure synthesis.
ACM Trans. Graph., 2020

Learning to Infer Shape Programs Using Latent Execution Self Training.
CoRR, 2020

Learning Generative Models of 3D Structures.
Comput. Graph. Forum, 2020

GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections.
Proceedings of the 8th International Conference on 3D Vision, 2020

Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
PlanIT: planning and instantiating indoor scenes with relation graph and spatial prior networks.
ACM Trans. Graph., 2019

Learning Style Compatibility Between Objects in a Real-World 3D Asset Database.
Comput. Graph. Forum, 2019

Learning to Describe Scenes with Programs.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Generative Models of 3D Structures.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep convolutional priors for indoor scene synthesis.
ACM Trans. Graph., 2018

Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variability.
Comput. Graph. Forum, 2018

Learning to Infer Graphics Programs from Hand-Drawn Images.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving Shape Deformation in Unsupervised Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2018, 2018

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
An Improved Training Procedure for Neural Autoregressive Data Completion.
CoRR, 2017

2016
Probabilistic programming for procedural modeling and design.
PhD thesis, 2016

Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks.
CoRR, 2016

Deep Amortized Inference for Probabilistic Programs.
CoRR, 2016

Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo.
ACM Trans. Graph., 2015

Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programming.
Comput. Graph. Forum, 2015

2014
First-class runtime generation of high-performance types using exotypes.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

2013
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs.
ACM Trans. Graph., 2013

2012
Example-based synthesis of 3D object arrangements.
ACM Trans. Graph., 2012

2011
d.tour: style-based exploration of design example galleries.
Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, 2011

2010
Dynamic local remeshing for elastoplastic simulation.
ACM Trans. Graph., 2010

2009
Interactive simulation of surgical needle insertion and steering.
ACM Trans. Graph., 2009


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