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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
Neural Texture Synthesis With Guided CorrespondenceCode1
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
Image Inpainting via Conditional Texture and Structure Dual GenerationCode1
Everything's Talkin': Pareidolia Face ReenactmentCode1
On Demand Solid Texture Synthesis Using Deep 3D NetworksCode1
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTicsCode1
Combining Markov Random Fields and Convolutional Neural Networks for Image SynthesisCode1
Learning Texture Transformer Network for Image Super-ResolutionCode1
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable RenderingCode1
Text-Guided 3D Face Synthesis -- From Generation to EditingCode1
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