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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 131140 of 280 papers

TitleStatusHype
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics0
DressCode: Autoregressively Sewing and Generating Garments from Text Guidance0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network0
Dual Pipeline Style Transfer with Input Distribution Differentiation0
Dynamic Neural Style Transfer for Artistic Image Generation using VGG190
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata0
DynTypo: Example-Based Dynamic Text Effects Transfer0
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images0
Emotion-Controllable Generalized Talking Face Generation0
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