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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

Showing 6170 of 280 papers

TitleStatusHype
Learning Texture Transformer Network for Image Super-ResolutionCode1
Emotion-Controllable Generalized Talking Face Generation0
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images0
A Procedural Texture Generation Framework Based on Semantic Descriptions0
DynTypo: Example-Based Dynamic Text Effects Transfer0
FlexiTex: Enhancing Texture Generation with Visual Guidance0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata0
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations0
Dynamic Neural Style Transfer for Artistic Image Generation using VGG190
Dual Pipeline Style Transfer with Input Distribution Differentiation0
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