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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 181–190 of 280 papers

TitleStatusHype
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?—0
Generator Pyramid for High-Resolution Image Inpainting—0
Neural FFTs for Universal Texture Image Synthesis—0
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
MTCRNN: A multi-scale RNN for directed audio texture synthesis—0
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTicsCode1
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
Conceptual Compression via Deep Structure and Texture SynthesisCode1
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
A deep learning based interactive sketching system for fashion images design—0
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