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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 61–70 of 280 papers

TitleStatusHype
Combining Markov Random Fields and Convolutional Neural Networks for Image SynthesisCode1
Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models—0
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence—0
TexTailor: Customized Text-aligned Texturing via Effective ResamplingCode0
FlexPainter: Flexible and Multi-View Consistent Texture Generation—0
MVPainter: Accurate and Detailed 3D Texture Generation via Multi-View Diffusion with Geometric Control—0
Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets—0
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control—0
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models—0
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection—0
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