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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

Showing 3140 of 280 papers

TitleStatusHype
RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing0
NeRF-Texture: Synthesizing Neural Radiance Field Textures0
Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds0
Tactile DreamFusion: Exploiting Tactile Sensing for 3D GenerationCode2
TEXGen: a Generative Diffusion Model for Mesh TexturesCode3
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting0
Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware Diffusion0
DreamPolish: Domain Score Distillation With Progressive Geometry Generation0
StyleTex: Style Image-Guided Texture Generation for 3D Models0
TexPro: Text-guided PBR Texturing with Procedural Material Modeling0
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