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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 261270 of 280 papers

TitleStatusHype
Mesh Neural Cellular Automata0
Meta 3D Gen0
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects0
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application0
Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture0
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration0
MTCRNN: A multi-scale RNN for directed audio texture synthesis0
Multiscale Sparse Microcanonical Models0
Multispectral Texture Synthesis using RGB Convolutional Neural Networks0
Multi-Texture Synthesis through Signal Responsive Neural Cellular Automata0
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