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Neural Painters: A learned differentiable constraint for generating
  brushstroke paintings

Neural Painters: A learned differentiable constraint for generating brushstroke paintings

17 April 2019
Reiichiro Nakano
    GAN
ArXivPDFHTML

Papers citing "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"

12 / 12 papers shown
Title
Stroke-based Rendering: From Heuristics to Deep Learning
Stroke-based Rendering: From Heuristics to Deep Learning
Florian Nolte
Andrew Melnik
Helge J. Ritter
GAN
48
5
0
30 Dec 2022
Character Generation through Self-Supervised Vectorization
Character Generation through Self-Supervised Vectorization
Gokcen Gokceoglu
Emre Akbas
30
0
0
03 Aug 2022
Physically Embodied Deep Image Optimisation
Physically Embodied Deep Image Optimisation
Daniela Mihai
Jonathon S. Hare
22
0
0
20 Jan 2022
Modern Evolution Strategies for Creativity: Fitting Concrete Images and
  Abstract Concepts
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
Yingtao Tian
David R Ha
65
43
0
18 Sep 2021
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and
  Literary Text Generation using Generative Adversarial Network
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
Sakib Shahriar
GAN
53
101
0
09 Aug 2021
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Songhua Liu
Tianwei Lin
Dongliang He
Fu Li
Rui Deng
Xin Li
Errui Ding
Hao Wang
ViT
24
77
0
09 Aug 2021
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
P. Reddy
Michael Gharbi
M. Lukác
Niloy J. Mitra
3DV
13
110
0
04 Feb 2021
Combining Semantic Guidance and Deep Reinforcement Learning For
  Generating Human Level Paintings
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Jaskirat Singh
Liang Zheng
11
20
0
25 Nov 2020
Text and Style Conditioned GAN for Generation of Offline Handwriting
  Lines
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
Brian L. Davis
Chris Tensmeyer
Brian L. Price
Curtis Wigington
B. Morse
R. Jain
GAN
24
46
0
01 Sep 2020
Why Do Line Drawings Work? A Realism Hypothesis
Why Do Line Drawings Work? A Realism Hypothesis
Aaron Hertzmann
27
55
0
14 Feb 2020
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
53
349
0
25 Sep 2019
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GAN
DRL
36
57
0
11 Jun 2019
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