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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 151–175 of 280 papers

TitleStatusHype
TUVF: Learning Generalizable Texture UV Radiance Fields—0
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks—0
Semantic Image Translation for Repairing the Texture Defects of Building Models—0
A geometrically aware auto-encoder for multi-texture synthesisCode0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata—0
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein LossCode0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures—0
Initialization and Alignment for Adversarial Texture Optimization—0
Texture Generation Using A Graph Generative Adversarial Network And Differentiable RenderingCode0
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization—0
Emotion-Controllable Generalized Talking Face Generation—0
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis—0
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network—0
3D microstructural generation from 2D images of cement paste using generative adversarial networksCode0
Marginal Contrastive Correspondence for Guided Image Generation—0
Generalized Rectifier Wavelet Covariance Models For Texture SynthesisCode0
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations—0
Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis—0
Video-driven Neural Physically-based Facial Asset for Production—0
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
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