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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
On Using Backpropagation for Speech Texture Generation and Voice Conversion—0
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization—0
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering—0
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures—0
Pareidolia Face Reenactment—0
Patch-based Texture Synthesis for Image Inpainting—0
Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis—0
Perception Driven Texture Generation—0
Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform—0
Perspective Texture Synthesis Based on Improved Energy Optimization—0
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