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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 41–50 of 280 papers

TitleStatusHype
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
Incorporating long-range consistency in CNN-based texture generationCode1
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture SynthesisCode1
DeFLOCNet: Deep Image Editing via Flexible Low-level ControlsCode1
Generating Non-Stationary Textures using Self-RectificationCode1
Keys to Better Image Inpainting: Structure and Texture Go Hand in HandCode1
Deep Geometric Texture SynthesisCode1
Adversarial Texture Optimization from RGB-D ScansCode1
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAECode1
DeepDC: Deep Distance Correlation as a Perceptual Image Quality EvaluatorCode1
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