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Texture Synthesis

The fundamental goal of example-based Texture Synthesis is to generate a texture, usually larger than the input, that faithfully captures all the visual characteristics of the exemplar, yet is neither identical to it, nor exhibits obvious unnatural looking artifacts.

Source: Non-Stationary Texture Synthesis by Adversarial Expansion

Papers

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Showing 271–280 of 280 papers

TitleStatusHype
3D microstructural generation from 2D images of cement paste using generative adversarial networksCode0
High resolution neural texture synthesis with long range constraintsCode0
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram LossesCode0
Texture Generation Using A Graph Generative Adversarial Network And Differentiable RenderingCode0
DRAN: Detailed Region-Adaptive Normalization for Conditional Image SynthesisCode0
StructureFlow: Image Inpainting via Structure-aware Appearance FlowCode0
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"Code0
Texture Interpolation for Probing Visual PerceptionCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
Deep Audio PriorCode0
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