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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 101–150 of 280 papers

TitleStatusHype
Towards Garment Sewing Pattern Reconstruction from a Single ImageCode2
Mesh Neural Cellular Automata—0
Text-to-3D with Classifier Score Distillation—0
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models—0
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation—0
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configurationCode0
Wasserstein Distortion: Unifying Fidelity and Realism—0
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation—0
Color and Texture Dual Pipeline Lightweight Style Transfer—0
Diffusion-based Holistic Texture Rectification and Synthesis—0
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models—0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection—0
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture SynthesisCode0
Example-Based Framework for Perceptually Guided Audio Texture Generation—0
Texture Generation on 3D Meshes with Point-UV DiffusionCode2
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On—0
Surface Geometry Processing: An Efficient Normal-based Detail Representation—0
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable RenderingCode1
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation—0
Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis—0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
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
Text2Tex: Text-driven Texture Synthesis via Diffusion ModelsCode1
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
A geometrically aware auto-encoder for multi-texture synthesisCode0
Neural Texture Synthesis With Guided CorrespondenceCode1
ClipFace: Text-guided Editing of Textured 3D Morphable ModelsCode1
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein LossCode0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata—0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
DeepDC: Deep Distance Correlation as a Perceptual Image Quality EvaluatorCode1
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures—0
Keys to Better Image Inpainting: Structure and Texture Go Hand in HandCode1
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
Pretraining is All You Need for Image-to-Image TranslationCode2
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D AvatarsCode3
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
Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2Code1
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution PriorsCode2
Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis—0
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