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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 71–80 of 280 papers

TitleStatusHype
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network—0
DressCode: Autoregressively Sewing and Generating Garments from Text Guidance—0
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On—0
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics—0
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation—0
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology—0
DreamPolish: Domain Score Distillation With Progressive Geometry Generation—0
DragTex: Generative Point-Based Texture Editing on 3D Mesh—0
CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion—0
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