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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 171–180 of 280 papers

TitleStatusHype
Finding Biological Plausibility for Adversarially Robust Features via Metameric TasksCode0
Projective Urban Texturing—0
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps—0
μNCA: Texture Generation with Ultra-Compact Neural Cellular AutomataCode0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images—0
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN—0
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction—0
DRAN: Detailed Region-Adaptive Normalization for Conditional Image SynthesisCode0
Occlusion-Aware Video Object Inpainting—0
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