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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 101–125 of 280 papers

TitleStatusHype
Texture Synthesis with Recurrent Variational Auto-EncoderCode0
Texture Synthesis with Spatial Generative Adversarial NetworksCode0
Enhancing Object Coherence in Layout-to-Image SynthesisCode0
EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisCode0
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein LossCode0
Emotion-Controllable Generalized Talking Face Generation—0
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images—0
Interpreting Spatially Infinite Generative Models—0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection—0
InsTex: Indoor Scenes Stylized Texture Synthesis—0
DynTypo: Example-Based Dynamic Text Effects Transfer—0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata—0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis—0
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations—0
Improved Style Transfer by Respecting Inter-layer Correlations—0
Dynamic Neural Style Transfer for Artistic Image Generation using VGG19—0
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis—0
Initialization and Alignment for Adversarial Texture Optimization—0
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis—0
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling—0
Dual Pipeline Style Transfer with Input Distribution Differentiation—0
InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting—0
Color and Texture Dual Pipeline Lightweight Style Transfer—0
A Procedural Texture Generation Framework Based on Semantic Descriptions—0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network—0
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