Controlling Perceptual Factors in Neural Style Transfer
Explore this paper's citation graph
- Type
- article
- Published
- 2016-11-23
- Cited by
- 499
- References
- 28
- Access
- Open access
- OpenAlex
- https://openalex.org/W2550673061
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5641467
Keywords
Computer science, Perception, Style (visual arts), Artificial intelligence, Artificial neural network
References
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Multiscale texture synthesis
- Pyramid-based texture analysis/synthesis
- Colour Mapping: A Review of Recent Methods, Extensions and Applications
- Texture synthesis by non-parametric sampling
- Visual Pattern Discrimination
- A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
- Constrained Texture Synthesis via Energy Minimization
- Texture Synthesis Using Convolutional Neural Networks
- AniPaint: Interactive Painterly Animation from Video
- Fast texture synthesis using tree-structured vector quantization
- WYSIWYG NPR: drawing strokes directly on 3D models
- Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
- Image Analogies
- Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
- Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
- Automatic Portrait Segmentation for Image Stylization
- StyLit
- Image Style Transfer Using Convolutional Neural Networks
- Instance Normalization: The Missing Ingredient for Fast Stylization
Cited by
- A Learned Representation For Artistic Style
- Super-resolution Using Constrained Deep Texture Synthesis
- Diversified Texture Synthesis with Feed-Forward Networks
- Coherent Online Video Style Transfer
- Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
- The Machine as Artist: An Introduction
- Characterizing and Improving Stability in Neural Style Transfer
- Towards Metamerism via Foveated Style Transfer
- A survey of digital stippling
- Neural style transfer: a paradigm shift for image-based artistic rendering?
- Exploring the structure of a real-time, arbitrary neural artistic stylization network
- TextureGAN: Controlling Deep Image Synthesis with Texture Patches
- Photo-Realistic Facial Texture Transfer
- Two-Stream Convolutional Networks for Dynamic Texture Synthesis
- Transforming photos to comics using convolutional neural networks
- Laplacian-Steered Neural Style Transfer
- Fast Stippling based on Weighted Centroidal Voronoi Diagrams
- Depth-aware neural style transfer
- Automatic semantic style transfer using deep convolutional neural networks and soft masks
- Texture and art with deep neural networks.
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