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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 201–210 of 280 papers

TitleStatusHype
Learning Texture Transformer Network for Image Super-ResolutionCode1
Texture Interpolation for Probing Visual PerceptionCode0
Fast Texture Synthesis via Pseudo OptimizerCode0
FeatureFlow: Robust Video Interpolation via Structure-to-Texture GenerationCode1
Toward a Universal Model for Shape From TextureCode1
Co-occurrence Based Texture SynthesisCode0
Adversarial Texture Optimization from RGB-D ScansCode1
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes—0
On Demand Solid Texture Synthesis Using Deep 3D NetworksCode1
Deep Audio PriorCode0
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