Image Style Transfer Using Convolutional Neural Networks
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- Type
- article
- Published
- 2016-06-27
- Cited by
- 5,857
- References
- 33
- OpenAlex
- https://openalex.org/W2475287302
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206593710
Keywords
Computer science, Convolutional neural network, Artificial intelligence, Rendering (computer graphics), Image (mathematics)
References
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream
- SegEM: Efficient Image Analysis for High-Resolution Connectomics.
- Fully convolutional networks for semantic segmentation
- Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
- Deep filter banks for texture recognition and segmentation
- Understanding deep image representations by inverting them
- Directional texture transfer
- Image quilting for texture synthesis and transfer
- Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
- Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
- Performance-optimized hierarchical models predict neural responses in higher visual cortex
- Graphcut textures: image and video synthesis using graph cuts
- Pyramid-based texture analysis/synthesis
- Semi-supervised Learning with Deep Generative Models
- State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video
- Texture synthesis by non-parametric sampling
- ImageNet Large Scale Visual Recognition Challenge
- Fast Texture Transfer
- A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Cited by
- Transitive Transfer Learning
- Bilinear CNN Models for Fine-Grained Visual Recognition
- Attribute2Image: Conditional Image Generation from Visual Attributes
- Generating Images with Perceptual Similarity Metrics based on Deep Networks
- Understanding deep convolutional networks
- Study on Digital Style Design
- A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm
- CNN-based Style Vector for Style Image Retrieval
- Preserving Color in Neural Artistic Style Transfer
- Reflectance modeling by neural texture synthesis
- Instance Normalization: The Missing Ingredient for Fast Stylization
- Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding
- Every Filter Extracts A Specific Texture In Convolutional Neural Networks
- Summary Statistics and Material Categorization in the Visual Periphery
- Style Transfer Via Texture Synthesis
- Example-Based Image Synthesis via Randomized Patch-Matching
- Deep Correlation Features for Image Style Classification
- Deep neural networks for learning classification features and generative models from synthetic aperture sonar big data
- Controlling Perceptual Factors in Neural Style Transfer
- Neural Style Representations and the Large-Scale Classification of Artistic Style
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