Reading List on Texture Synthesis

reading-list.rst

Specific Papers

• https://arxiv.org/abs/1505.07376

  Texture Synthesis Using Convolutional Neural Networks
• https://arxiv.org/abs/1508.06576

  A Neural Algorithm of Artistic Style
• https://arxiv.org/abs/1603.03417

  Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
• https://arxiv.org/abs/1701.02096

  Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Texture Synthesis
• https://arxiv.org/abs/1601.04589

  Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
• https://arxiv.org/abs/1601.04589

  Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
• https://arxiv.org/abs/1705.01088

  Visual Attribute Transfer through Deep Image Analogy
• https://arxiv.org/abs/1703.06868

  Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
• https://arxiv.org/abs/1911.06953

  Dynamic Instance Normalization for Arbitrary Style Transfer
• https://arxiv.org/abs/1811.05621

  Style and Content Disentanglement in Generative Adversarial Networks
• https://arxiv.org/abs/1805.04487

  Non-Stationary Texture Synthesis by Adversarial Expansion
• https://arxiv.org/abs/1807.11035

  Texture Mixing by Interpolating Deep Statistics via Gaussian Models
• https://arxiv.org/abs/1612.04337

  Fast Patch-based Style Transfer of Arbitrary Style
• https://arxiv.org/abs/1705.08086

  Universal Style Transfer via Feature Transforms
• https://arxiv.org/abs/1612.01895

  Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
• https://arxiv.org/abs/2009.01376

  NITES: A Non-Parametric Interpretable Texture Synthesis Method

Classics

• https://www.microsoft.com/en-us/research/publication/inverse-texture-synthesis/

  Inverse Texture Synthesis

Community Suggestions

• https://arxiv.org/abs/2007.07243

  Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
• https://papers.nips.cc/paper/2020/file/a23156abfd4a114c35b930b836064e8b-Paper.pdf

  Neural FFTs for Universal Texture Image Synthesis
• https://arxiv.org/abs/1606.00021

  Texture Synthesis Using Shallow Convolutional Networks with Random Filters
• https://arxiv.org/abs/1611.08207

  Texture Synthesis with Spatial Generative Adversarial Networks
• https://arxiv.org/abs/1705.06566

  Learning Texture Manifolds with the Periodic Spatial GAN
• https://arxiv.org/abs/2001.04528

  On Demand Solid Texture Synthesis Using Deep 3D Networks
• https://arxiv.org/abs/1807.10201

  A Style-Aware Content Loss for Real-time HD Style Transfer
• https://arxiv.org/abs/2010.14702

  Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport

Reviews & Collections

• https://arxiv.org/abs/1707.07184

  A Survey of Exemplar-based Texture Synthesis
• https://arxiv.org/abs/1705.04058

  Neural Style Transfer: A Review
• http://arxiv-sanity.com/1601.04589

  (see list of papers related by keywords)