Daniel Ritchie

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Manolis SavvaSimon Fraser UniversityDirección de correo verificada de sfu.ca
Patrick HanrahanStanford UniversityDirección de correo verificada de cs.stanford.edu
Kai WangBrown UniversityDirección de correo verificada de brown.edu
Matthew FisherPrincipal Research Scientist, Adobe ResearchDirección de correo verificada de cs.stanford.edu
Noah D. GoodmanStanford UniversityDirección de correo verificada de stanford.edu
Angel ChangSimon Fraser UniversityDirección de correo verificada de cs.stanford.edu
James F. O'BrienProfessor of Computer Science, University of California BerkeleyDirección de correo verificada de berkeley.edu
Nuttapong ChentanezNVIDIA, Chulalongkorn UniversityDirección de correo verificada de eecs.berkeley.edu
Ken GoldbergProfessor, UC Berkeley and UCSFDirección de correo verificada de berkeley.edu
Ron AlterovitzProfessor of Computer Science, University of North Carolina at Chapel HillDirección de correo verificada de cs.unc.edu
Kris HauserProfessor, University of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Thomas FunkhouserPrinceton UniversityDirección de correo verificada de cs.princeton.edu
Sharon LinStanford UniversityDirección de correo verificada de cs.stanford.edu
Jürgen SturmSenior Staff Software Engineering Manager at Intrinsic, an Alphabet companyDirección de correo verificada de jsturm.de
Martin BokelohPostdoc, Stanford UniversityDirección de correo verificada de stanford.edu
Matthias NießnerProfessor of Computer Science, Technical University of MunichDirección de correo verificada de tum.de
Angela DaiTechnical University of MunichDirección de correo verificada de tum.de
Scott ReedResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
Armando Solar-LezamaMITDirección de correo verificada de csail.mit.edu

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Daniel Ritchie

Brown University

Dirección de correo verificada de brown.edu - Página principal

Computer Graphics Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Example-based synthesis of 3D object arrangements M Fisher, D Ritchie, M Savva, T Funkhouser, P Hanrahan ACM Transactions on Graphics (TOG) 31 (6), 1-11, 2012	382	2012
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans A Dai, D Ritchie, M Bokeloh, S Reed, J Sturm, M Nießner Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	277	2018
Learning to infer graphics programs from hand-drawn images K Ellis, D Ritchie, A Solar-Lezama, J Tenenbaum Advances in neural information processing systems 31, 2018	226	2018
Dynamic local remeshing for elastoplastic simulation M Wicke, D Ritchie, BM Klingner, S Burke, JR Shewchuk, JF O'Brien ACM Transactions on graphics (TOG) 29 (4), 1-11, 2010	224	2010
Interactive simulation of surgical needle insertion and steering N Chentanez, R Alterovitz, D Ritchie, L Cho, KK Hauser, K Goldberg, ... ACM SIGGRAPH 2009 papers, 1-10, 2009	210	2009
Deep convolutional priors for indoor scene synthesis K Wang, M Savva, AX Chang, D Ritchie ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018	197	2018
Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks K Wang, YA Lin, B Weissmann, M Savva, AX Chang, D Ritchie ACM Transactions on Graphics (TOG) 38 (4), 1-15, 2019	145	2019
Fast and flexible indoor scene synthesis via deep convolutional generative models D Ritchie, K Wang, Y Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	117	2019
Probabilistic color-by-numbers: Suggesting pattern colorizations using factor graphs S Lin, D Ritchie, M Fisher, P Hanrahan ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013	113	2013
Deep amortized inference for probabilistic programs D Ritchie, P Horsfall, ND Goodman arXiv preprint arXiv:1610.05735, 2016	96	2016
Controlling procedural modeling programs with stochastically-ordered sequential monte carlo D Ritchie, B Mildenhall, ND Goodman, P Hanrahan ACM Transactions on Graphics (TOG) 34 (4), 1-11, 2015	91	2015
Improving shape deformation in unsupervised image-to-image translation A Gokaslan, V Ramanujan, D Ritchie, KI Kim, J Tompkin Proceedings of the European Conference on Computer Vision (ECCV), 649-665, 2018	84	2018
Shapeassembly: Learning to generate programs for 3d shape structure synthesis RK Jones, T Barton, X Xu, K Wang, E Jiang, P Guerrero, NJ Mitra, ... ACM Transactions on Graphics (TOG) 39 (6), 1-20, 2020	66	2020
d. tour: Style-based exploration of design example galleries D Ritchie, AA Kejriwal, SR Klemmer Proceedings of the 24th annual ACM symposium on User interface software and …, 2011	66	2011
Neurally-guided procedural models: Amortized inference for procedural graphics programs using neural networks D Ritchie, A Thomas, P Hanrahan, N Goodman Advances in neural information processing systems 29, 2016	58	2016
Learning generative models of 3D structures S Chaudhuri, D Ritchie, J Wu, K Xu, H Zhang Computer Graphics Forum 39 (2), 643-666, 2020	56	2020
Learning to describe scenes with programs Y Liu, Z Wu International conference on learning representations, 2019	51	2019
Inferring cad modeling sequences using zone graphs X Xu, W Peng, CY Cheng, KDD Willis, D Ritchie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	41	2021
C3: Lightweight incrementalized MCMC for probabilistic programs using continuations and callsite caching D Ritchie, A Stuhlmüller, N Goodman Artificial Intelligence and Statistics, 28-37, 2016	37	2016
Shapecrafter: A recursive text-conditioned 3d shape generation model R Fu, X Zhan, Y Chen, D Ritchie, S Sridhar Advances in Neural Information Processing Systems 35, 8882-8895, 2022	26	2022

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