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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 271–280 of 280 papers

TitleStatusHype
MVPainter: Accurate and Detailed 3D Texture Generation via Multi-View Diffusion with Geometric Control—0
NeRF-Texture: Synthesizing Neural Radiance Field Textures—0
Neural FFTs for Universal Texture Image Synthesis—0
NITES: A Non-Parametric Interpretable Texture Synthesis Method—0
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata—0
Nonparametric Bayesian Texture Learning and Synthesis—0
Occlusion-Aware Video Object Inpainting—0
One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block—0
On Random Weights for Texture Generation in One Layer Neural Networks—0
On Synthetic Texture Datasets: Challenges, Creation, and Curation—0
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