Ritchie, Daniel

20 publications

ICCV 2025 Diorama: Unleashing Zero-Shot Single-View 3D Indoor Scene Modeling Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis Savva, Angel X. Chang

CVPR 2025 GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities Rao Fu, Dingxi Zhang, Alex Jiang, Wanjia Fu, Austin Funk, Daniel Ritchie, Srinath Sridhar

CVPR 2025 Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomir Mech, Matthew Fisher, Daniel Ritchie

NeurIPS 2024 Learning to Edit Visual Programs with Self-Supervision R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie

ICML 2024 Learning to Infer Generative Template Programs for Visual Concepts R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie

ECCV 2024 R3DS: Reality-Linked 3D Scenes for Panoramic Scene Understanding Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X Chang

CVPR 2023 CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language Aditya Sanghi, Rao Fu, Vivian Liu, Karl D.D. Willis, Hooman Shayani, Amir H. Khasahmadi, Srinath Sridhar, Daniel Ritchie

ICCV 2023 Improving Unsupervised Visual Program Inference with Code Rewriting Families Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie

CVPR 2023 Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie

CVPR 2022 PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions R. Kenny Jones, Homer Walke, Daniel Ritchie

NeurIPS 2022 ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model Rao Fu, Xiao Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar

CVPR 2022 The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions with Approximate Inference R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie

ECCV 2022 The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie

CVPR 2021 Inferring CAD Modeling Sequences Using Zone Graphs Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D.D. Willis, Daniel Ritchie

ECCV 2020 GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang

ICLR 2019 Learning to Describe Scenes with Programs Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ECCV 2018 Improving Shape Deformation in Unsupervised Image-to-Image Translation Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin

NeurIPS 2018 Learning to Infer Graphics Programs from Hand-Drawn Images Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum

AISTATS 2016 C3: Lightweight Incrementalized MCMC for Probabilistic Programs Using Continuations and Callsite Caching Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman

NeurIPS 2016 Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs Using Neural Networks Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah Goodman