Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
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Summary
A model called auto-painter is proposed which can automatically generate compatible colors given a sketch and is not only capable of painting hand-draw sketch with compatible colors, but also allowing users to indicate preferred colors.
- Type
- article
- Published
- 2018-10-01
- Cited by
- 151
- References
- 39
- OpenAlex
- https://openalex.org/W2804918468
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:51612601
Keywords
Sketch, Adversarial system, Computer science, Generative grammar, Image (mathematics)
References
- XDoG: An eXtended difference-of-Gaussians compendium including advanced image stylization
- Deep Boltzmann Machines
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
- Auto-Encoding Variational Bayes
- PatchMatch: a randomized correspondence algorithm for structural image editing
- Sketch2Photo: internet image montage
- Im2Sketch: Sketch generation by unconflicted perceptual grouping
- Example-Based Super-Resolution
- ImageNet Large Scale Visual Recognition Challenge
- Conditional Generative Adversarial Nets
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
- Image up-sampling using total-variation regularization with a new observation model
- Scene Completion Using Millions of Photographs
- Manga colorization
- Context Encoders: Feature Learning by Inpainting
- Generative Adversarial Text to Image Synthesis
- Let there be color!
- Image-to-Image Translation with Conditional Adversarial Networks
- Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Cited by
- A Generative Model for category text generation
- Unpaired cross domain image translation with augmented auxiliary domain information
- User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
- Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging
- ColourAIze: AI-Driven Colourisation of Paper Drawings with Interactive Projection System
- Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes
- ToonNet: a cartoon image dataset and a DNN-based semantic classification system
- Application of improved least-square generative adversarial networks for rail crack detection by AE technique
- Deep cartoon colorizer: An automatic approach for colorization of vintage cartoons
- A Survey of Generative Adversarial Networks
- Extending the spectral database of laser-induced breakdown spectroscopy with generative adversarial nets.
- Structured Knowledge Distillation for Semantic Segmentation
- Adversarial Sub-sequence for Text Generation
- Unpaired photo-to-caricature translation on faces in the wild
- Photo-realistic face age progression/regression using a single generative adversarial network
- Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations
- A Wasserstein gradient-penalty generative adversarial network with deep auto-encoder for bearing intelligent fault diagnosis
- Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification
- Adversarial Colorization of Icons Based on Contour and Color Conditions
- Two-Stage Sketch Colorization With Color Parsing
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