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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

Showing 171180 of 280 papers

TitleStatusHype
Texture Generation with Neural Cellular AutomataCode1
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction0
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations0
Everything's Talkin': Pareidolia Face ReenactmentCode1
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures0
Aggregated Contextual Transformations for High-Resolution Image InpaintingCode3
DeFLOCNet: Deep Image Editing via Flexible Low-level ControlsCode1
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAECode1
Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach0
Thousand to One: Semantic Prior Modeling for Conceptual Coding0
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