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Learning to Infer Graphics Programs from Hand-Drawn Images

30 July 2017

Papers citing "Learning to Infer Graphics Programs from Hand-Drawn Images"

33 / 83 papers shown

Title
Generating new concepts with hybrid neuro-symbolic models Reuben Feinman Brenden M. Lake BDL 115 13 0 19 Mar 2020
From Statistical Relational to Neuro-Symbolic Artificial Intelligence Luc de Raedt Sebastijan Dumancic Robin Manhaeve Giuseppe Marra NAI 94 104 0 18 Mar 2020
Deep Vectorization of Technical Drawings Vage Egiazarian Oleg Voynov Alexey Artemov Denis Volkhonskiy Aleksandr Safin Maria Taktasheva Denis Zorin Evgeny Burnaev 3DPC 86 60 0 11 Mar 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 147 155 0 13 Feb 2020
Deep Learning for Free-Hand Sketch: A Survey Peng Xu Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang Liang Wang 3DV 131 120 0 08 Jan 2020
Neural Shape Parsers for Constructive Solid Geometry Gopal Sharma Rishabh Goyal Difan Liu E. Kalogerakis Subhransu Maji 3DPC 3DV 58 29 0 22 Dec 2019
Forgetting to learn logic programs Andrew Cropper CLL 80 16 0 15 Nov 2019
Unsupervised Doodling and Painting with Improved SPIRAL John F. J. Mellor Eunbyung Park Yaroslav Ganin Igor Babuschkin Tejas D. Kulkarni Dan Rosenbaum Andy Ballard T. Weber Oriol Vinyals S. M. Ali Eslami 107 46 0 02 Oct 2019
Program-Guided Image Manipulators Jiayuan Mao Xiuming Zhang Yikai Li William T. Freeman J. Tenenbaum Jiajun Wu LM&Ro 58 23 0 04 Sep 2019
Sketch-n-Sketch: Output-Directed Programming for SVG Brian Hempel Justin Lubin Ravi Chugh 104 89 0 24 Jul 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 101 561 0 18 Jul 2019
Imitation-Projected Programmatic Reinforcement Learning A. Verma Hoang Minh Le Yisong Yue Swarat Chaudhuri 33 2 0 11 Jul 2019
Neurally-Guided Structure Inference Sidi Lu Jiayuan Mao J. Tenenbaum Jiajun Wu 61 7 0 17 Jun 2019
Write, Execute, Assess: Program Synthesis with a REPL Kevin Ellis Maxwell Nye Yewen Pu Felix Sosa J. Tenenbaum Armando Solar-Lezama 107 169 0 09 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 176 41 0 30 May 2019
Recursive Sketches for Modular Deep Learning Badih Ghazi Rina Panigrahy Joshua R. Wang 76 20 0 29 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 126 45 0 27 May 2019
Learning Programmatically Structured Representations with Perceptor Gradients Svetlin Penkov S. Ramamoorthy 58 10 0 02 May 2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids Despoina Paschalidou Ali O. Ulusoy Andreas Geiger 70 195 0 22 Apr 2019
Playgol: learning programs through play Andrew Cropper 66 34 0 18 Apr 2019
Few-Shot Bayesian Imitation Learning with Logical Program Policies Tom Silver Kelsey R. Allen Alexander K. Lew L. Kaelbling J. Tenenbaum LM&Ro 117 52 0 12 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 76 118 0 04 Apr 2019
Learning Interpretable Models with Causal Guarantees Carolyn Kim Osbert Bastani FaML OOD CML 75 17 0 24 Jan 2019
Learning Neurosymbolic Generative Models via Program Synthesis Halley Young Osbert Bastani Mayur Naik NAI 62 31 0 24 Jan 2019
Learning to Infer and Execute 3D Shape Programs Yonglong Tian Andrew F. Luo Xingyuan Sun Kevin Ellis William T. Freeman J. Tenenbaum Jiajun Wu 3DV 114 147 0 09 Jan 2019
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models Daniel E. Ritchie Kai Wang Yu-An Lin 3DV 93 158 0 29 Nov 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning Yaroslav Ganin Tejas D. Kulkarni Igor Babuschkin A. Eslami Oriol Vinyals GAN 84 230 0 03 Apr 2018
HOUDINI: Lifelong Learning as Program Synthesis Lazar Valkov Dipak Chaudhari Akash Srivastava Charles Sutton Swarat Chaudhuri 83 82 0 31 Mar 2018
The Three Pillars of Machine Programming Justin Emile Gottschlich Armando Solar-Lezama Nesime Tatbul Michael Carbin Martin Rinard Regina Barzilay Saman P. Amarasinghe J. Tenenbaum Tim Mattson 83 63 0 20 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 211 292 0 28 Feb 2018
CSGNet: Neural Shape Parser for Constructive Solid Geometry Gopal Sharma Rishabh Goyal Difan Liu E. Kalogerakis Subhransu Maji 3DV 80 193 0 22 Dec 2017
Selecting Representative Examples for Program Synthesis Yewen Pu Zachery Miranda Armando Solar-Lezama L. Kaelbling 108 2 0 09 Nov 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 123 863 0 18 Sep 2017