Daniel Ritchie Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

John Brown University

faculty

12 h-index 99 pubs 639 cited

Research Areas

3D Shape Modeling and Analysis Irish and British Studies Computer Graphics and Visualization Techniques Topic Modeling American Constitutional Law and Politics

Links

ORCID

Is this your profile? Verify and claim your profile

OverviewAI-generated summary

Daniel Ritchie's research spans an impressive range of topics, from computational geometry to the humanities. At John Brown University, he explores 3D shape modeling and computer graphics, with publications focused on generating high-fidelity shapes from natural language descriptions using AI. Recent work includes "CLIP-Sculptor" (2023) and "ShapeCrafter" (2022), which demonstrate novel approaches to text-conditioned 3D shape generation. Beyond the technical realm, Ritchie also investigates educational applications of AI, as seen in his 2023 publication addressing AI-generated writing, and develops AI tools for parent-child interactive storytelling. Additionally, he maintains an active interest in Irish and British Studies, American Constitutional Law, and topic modeling.

Metrics

  • h-index: 12
  • Publications: 99
  • Citations: 639

Selected Publications

  • GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities (2025) DOI
  • Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy (2025) DOI
  • Improving Unsupervised Visual Program Inference with Code Rewriting Families (2023) DOI
  • Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly (2023) DOI
  • CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language (2023) DOI
  • Neurosymbolic Models for Computer Graphics (2023) DOI
  • PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions (2022) DOI
  • The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference (2022) DOI
  • Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections (2022) DOI

Collaborators

Researchers in the database who share publications

Aditya Ganeshan John Brown University 10 shared publications Srinath Sridhar John Brown University 7 shared publications Rao Fu John Brown University 2 shared publications Wanjia Fu John Brown University 2 shared publications Aalia Habib John Brown University 2 shared publications Rahul Sajnani John Brown University 1 shared publication

Similar Researchers

Based on overlapping research topics

Shiqin Yan John Brown University
3D Shape Modeling and Analysis Computer Graphics and Visualization Techniques
Good match
Rugved Mavidipalli John Brown University
3D Shape Modeling and Analysis Computer Graphics and Visualization Techniques
Related
Barbara J. Meier John Brown University
3D Shape Modeling and Analysis Computer Graphics and Visualization Techniques
Related
D.B. Cooper John Brown University
3D Shape Modeling and Analysis Computer Graphics and Visualization Techniques
Related
Jan P. Springer University of Arkansas at Little Rock
3D Shape Modeling and Analysis Computer Graphics and Visualization Techniques
Related
Gabriel Taubin John Brown University
3D Shape Modeling and Analysis Computer Graphics and Visualization Techniques
Related