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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
Diffusion-based Holistic Texture Rectification and Synthesis—0
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models—0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection—0
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture SynthesisCode0
Example-Based Framework for Perceptually Guided Audio Texture Generation—0
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On—0
Surface Geometry Processing: An Efficient Normal-based Detail Representation—0
Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis—0
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation—0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
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