Daniel Ritchie
Orcid: 0000-0002-8253-0069
According to our database1,
Daniel Ritchie
authored at least 64 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on id.loc.gov
On csauthors.net:
Bibliography
2024
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns.
ACM Trans. Graph., July, 2024
Comput. Graph. Forum, May, 2024
Comput. Graph. Forum, May, 2024
CoRR, 2024
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the International Conference on 3D Vision, 2024
2023
ACM Trans. Graph., December, 2023
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.
ACM Trans. Graph., August, 2023
CoRR, 2023
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
ACM Trans. Graph., 2022
CoRR, 2022
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes.
CoRR, 2021
Comput. Graph. Forum, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
ACM Trans. Graph., 2020
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
Comput. Graph. Forum, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variability.
Comput. Graph. Forum, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
2016
Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks.
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
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
2011
Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, 2011
2010
2009
ACM Trans. Graph., 2009