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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 201–210 of 280 papers

TitleStatusHype
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing—0
Video-driven Neural Physically-based Facial Asset for Production—0
Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata—0
Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics—0
Wasserstein Distortion: Unifying Fidelity and Realism—0
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction—0
WordRobe: Text-Guided Generation of Textured 3D Garments—0
One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block—0
On Random Weights for Texture Generation in One Layer Neural Networks—0
On Synthetic Texture Datasets: Challenges, Creation, and Curation—0
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