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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 51–60 of 280 papers

TitleStatusHype
Deep Geometric Texture SynthesisCode1
Adversarial Texture Optimization from RGB-D ScansCode1
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAECode1
FeatureFlow: Robust Video Interpolation via Structure-to-Texture GenerationCode1
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTicsCode1
DeepDC: Deep Distance Correlation as a Perceptual Image Quality EvaluatorCode1
Combining Markov Random Fields and Convolutional Neural Networks for Image SynthesisCode1
Generating Non-Stationary Textures using Self-RectificationCode1
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsCode1
On Demand Solid Texture Synthesis Using Deep 3D NetworksCode1
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