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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 221–230 of 280 papers

TitleStatusHype
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image—0
Projective Urban Texturing—0
Psychophysical vs. learnt texture representations in novelty detection—0
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation—0
Re-Identification Supervised Texture Generation—0
RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Models—0
RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing—0
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps—0
Second-order Democratic Aggregation—0
Self-supervised Deformation Modeling for Facial Expression Editing—0
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