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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 141–150 of 280 papers

TitleStatusHype
Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors—0
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN—0
Example-Based Framework for Perceptually Guided Audio Texture Generation—0
Example-Based Image Synthesis via Randomized Patch-Matching—0
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network—0
Exploring 3D-aware Lifespan Face Aging via Disentangled Shape-Texture Representations—0
Facial Feature Point Detection: A Comprehensive Survey—0
Fashioning with Networks: Neural Style Transfer to Design Clothes—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
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