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Learning Body-Aware 3D Shape Generative Models

Dec 16, 2021
Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva

* 11 pages, 8 figures 

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Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms

Dec 10, 2021
Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie

* Computer Graphics Forum, 40: 57-69 (2021) 
* Symposium on Geometry Processing (SGP) 2021 

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The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts

Dec 01, 2021
Kai Wang, Paul Guerrero, Vladimir Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie

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Learning to Infer Kinematic Hierarchies for Novel Object Instances

Oct 15, 2021
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie

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

Jun 22, 2021
R. Kenny Jones, Rana Hanocka, Daniel Ritchie

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ShapeMOD: Macro Operation Discovery for 3D Shape Programs

Apr 13, 2021
R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie

* Project Page: 

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Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing

Dec 06, 2020
Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie

* Will be published at 3DV 2020 

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Learning to Infer Shape Programs Using Latent Execution Self Training

Nov 25, 2020
Homer Walke, R. Kenny Jones, Daniel Ritchie

* 15 pages, 16 figures 

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ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

Sep 17, 2020
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie

* Accepted to Siggraph Asia 2020; project page: 

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GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation

Feb 29, 2020
Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang

* 9 pages, 9 figures 

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Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

Nov 29, 2018
Daniel Ritchie, Kai Wang, Yu-an Lin

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Learning to Infer Graphics Programs from Hand-Drawn Images

Oct 26, 2018
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Joshua B. Tenenbaum

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Improving Shape Deformation in Unsupervised Image-to-Image Translation

Aug 13, 2018
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin

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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Mar 28, 2018
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner

* Video: 

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An Improved Training Procedure for Neural Autoregressive Data Completion

Nov 23, 2017
Maxime Voisin, Daniel Ritchie

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Deep Amortized Inference for Probabilistic Programs

Oct 18, 2016
Daniel Ritchie, Paul Horsfall, Noah D. Goodman

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Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks

Oct 13, 2016
Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah D. Goodman

* Neural Information Processing Systems (NIPS 2016) 

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C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching

Sep 08, 2015
Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman

* Fix typo in author name 

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