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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 91–100 of 280 papers

TitleStatusHype
Multispectral Texture Synthesis using RGB Convolutional Neural Networks—0
TexPro: Text-guided PBR Texturing with Procedural Material Modeling—0
TextureMeDefect: LLM-based Defect Texture Generation for Railway Components on Mobile Devices—0
Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images—0
RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Models—0
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation—0
FlexiTex: Enhancing Texture Generation with Visual Guidance—0
On Synthetic Texture Datasets: Challenges, Creation, and Curation—0
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling—0
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement—0
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