Learning to Infer Graphics Programs from Hand-Drawn Images

30 July 2017

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

50 / 55 papers shown

Title
Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models Averi Bates Ryan Vavricka Shane Carleton Ruosi Shao Chongle Pan 61 0 0 15 Mar 2025
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis Jonas Belouadi Eddy Ilg M. Keuper Hideki Tanaka Masao Utiyama Raj Dabre Steffen Eger Simone Paolo Ponzetto 52 0 0 14 Mar 2025
GRS: Generating Robotic Simulation Tasks from Real-World Images Alex Zook Fan-Yun Sun Josef Spjut Valts Blukis Stan Birchfield Jonathan Tremblay 60 4 0 20 Oct 2024
Diffusion On Syntax Trees For Program Synthesis Shreyas Kapur Erik Jenner Stuart J. Russell DiffM 37 5 0 30 May 2024
PhotoScout: Synthesis-Powered Multi-Modal Image Search Celeste Barnaby Qiaochu Chen Chenglong Wang Işıl Dillig 48 2 0 19 Jan 2024
Compositional diversity in visual concept learning Yanli Zhou Reuben Feinman Brenden M. Lake CoGe OCL 32 8 0 30 May 2023
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives R. K. Jones Paul Guerrero Niloy J. Mitra Daniel E. Ritchie 34 23 0 09 May 2023
Geoclidean: Few-Shot Generalization in Euclidean Geometry Joy Hsu Jiajun Wu Noah D. Goodman 32 6 0 30 Nov 2022
Discovering Design Concepts for CAD Sketches Yuezhi Yang Hao Pan 14 12 0 26 Oct 2022
Neural-Symbolic Recursive Machine for Systematic Generalization Qing Li Yixin Zhu Yitao Liang Ying Nian Wu Song-Chun Zhu Siyuan Huang NAI 45 9 0 04 Oct 2022
Neurosymbolic Repair for Low-Code Formula Languages Rohan Bavishi Harshit Joshi José Pablo Cambronero Sánchez Anna Fariha Sumit Gulwani Vu Le Ivan Radicek A. Tiwari 16 13 0 24 Jul 2022
Node Graph Optimization Using Differentiable Proxies Yiwei Hu Paul Guerrero Miloš Hašan Holly Rushmeier Valentin Deschaintre 24 25 0 15 Jul 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese Guosheng Lin SyDa ALM 135 243 0 05 Jul 2022
Programmatic Concept Learning for Human Motion Description and Synthesis Sumith Kulal Jiayuan Mao A. Aiken Jiajun Wu 33 7 0 27 Jun 2022
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 31 10 0 13 Jun 2022
Neural Program Synthesis with Query Di Huang Rui Zhang Xing Hu Xishan Zhang Pengwei Jin Nan Li Zidong Du Qi Guo Yunji Chen 19 2 0 08 May 2022
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis Albert Tseng Jennifer J. Sun Yisong Yue 46 9 0 30 Nov 2021
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems Atharv Sonwane Sharad Chitlangia T. Dash L. Vig Gautam M. Shroff A. Srinivasan 26 5 0 19 Oct 2021
Vitruvion: A Generative Model of Parametric CAD Sketches Ari Seff Wenda Zhou Nick Richardson Ryan P. Adams 27 64 0 29 Sep 2021
Supervised Bayesian Specification Inference from Demonstrations Ankit J. Shah Pritish Kamath Shen Li Patrick L. Craven Kevin J. Landers Kevin B. Oden J. Shah 27 3 0 06 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 27 54 0 18 Jun 2021
Interpreting Expert Annotation Differences in Animal Behavior Megan Tjandrasuwita Jennifer J. Sun Ann Kennedy Swarat Chaudhuri Yisong Yue 19 8 0 11 Jun 2021
SketchGen: Generating Constrained CAD Sketches W. Para S. Bhat Paul Guerrero Tom Kelly Niloy Mitra Leonidas J. Guibas Peter Wonka 3DV 38 72 0 04 Jun 2021
Engineering Sketch Generation for Computer-Aided Design Karl D. D. Willis P. Jayaraman Joseph G. Lambourne Hang Chu Yewen Pu 3DV 113 62 0 19 Apr 2021
ShapeMOD: Macro Operation Discovery for 3D Shape Programs R. K. Jones David Charatan Paul Guerrero Niloy J. Mitra Daniel E. Ritchie 31 9 0 13 Apr 2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks Despoina Paschalidou Angelos Katharopoulos Andreas Geiger Sanja Fidler 3DPC 3DV 3DH 29 113 0 18 Mar 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 Feb 2021
Im2Vec: Synthesizing Vector Graphics without Vector Supervision P. Reddy Michael Gharbi M. Lukác Niloy J. Mitra 3DV 8 110 0 04 Feb 2021
Neurosymbolic Transformers for Multi-Agent Communication J. Inala Yichen Yang James Paulos Yewen Pu Osbert Bastani Vijay Kumar Martin Rinard Armando Solar-Lezama 32 24 0 05 Jan 2021
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions R. K. Jones Homer Walke Daniel E. Ritchie 28 24 0 25 Nov 2020
Multi-Plane Program Induction with 3D Box Priors Yikai Li Jiayuan Mao Xiuming Zhang Bill Freeman J. Tenenbaum Noah Snavely Jiajun Wu 23 17 0 19 Nov 2020
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis R. K. Jones Theresa Barton Xianghao Xu Kai Wang Ellen Jiang Paul Guerrero Niloy J. Mitra Daniel E. Ritchie 31 31 0 17 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
Sketch2CAD: Sequential CAD Modeling by Sketching in Context Changjian Li Hao Pan Adrien Bousseau Niloy J. Mitra 3DV 3DPC 22 28 0 10 Sep 2020
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 149 43 0 23 Jul 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 33 190 0 15 Jun 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image Despoina Paschalidou Luc van Gool Andreas Geiger 3DV OCL 36 107 0 02 Apr 2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds Gopal Sharma Difan Liu Subhransu Maji E. Kalogerakis S. Chaudhuri Radomír Mvech 3DPC 24 138 0 26 Mar 2020
Generating new concepts with hybrid neuro-symbolic models Reuben Feinman Brenden M. Lake BDL 32 13 0 19 Mar 2020
Deep Vectorization of Technical Drawings Vage Egiazarian Oleg Voynov Alexey Artemov Denis Volkhonskiy Aleksandr Safin Maria Taktasheva Denis Zorin Evgeny Burnaev 3DPC 32 60 0 11 Mar 2020
Forgetting to learn logic programs Andrew Cropper CLL 27 16 0 15 Nov 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 40 542 0 18 Jul 2019
Write, Execute, Assess: Program Synthesis with a REPL Kevin Ellis Maxwell Nye Yewen Pu Felix Sosa J. Tenenbaum Armando Solar-Lezama 30 166 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 41 41 0 30 May 2019
Recursive Sketches for Modular Deep Learning Badih Ghazi Rina Panigrahy Joshua R. Wang 15 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 21 45 0 27 May 2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids Despoina Paschalidou Ali O. Ulusoy Andreas Geiger 25 193 0 22 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 26 50 0 12 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 33 113 0 04 Apr 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 26 145 0 09 Jan 2019