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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 211–220 of 280 papers

TitleStatusHype
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes—0
Deep Audio PriorCode0
One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block—0
Conditional Generative ConvNets for Exemplar-based Texture SynthesisCode0
Maximum entropy methods for texture synthesis: theory and practice—0
Kernelized Similarity Learning and Embedding for Dynamic Texture SynthesisCode0
Self-supervised Deformation Modeling for Facial Expression Editing—0
Learning an Action-Conditional Model for Haptic Texture Generation—0
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"Code0
StructureFlow: Image Inpainting via Structure-aware Appearance FlowCode0
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