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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 41–50 of 280 papers

TitleStatusHype
TexPro: Text-guided PBR Texturing with Procedural Material Modeling—0
MagicEraser: Erasing Any Objects via Semantics-Aware ControlCode1
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion ModelsCode2
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
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsCode1
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