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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 201–250 of 280 papers

TitleStatusHype
DragTex: Generative Point-Based Texture Editing on 3D Mesh—0
DreamPolish: Domain Score Distillation With Progressive Geometry Generation—0
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation—0
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics—0
DressCode: Autoregressively Sewing and Generating Garments from Text Guidance—0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network—0
Dual Pipeline Style Transfer with Input Distribution Differentiation—0
Dynamic Neural Style Transfer for Artistic Image Generation using VGG19—0
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations—0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata—0
DynTypo: Example-Based Dynamic Text Effects Transfer—0
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images—0
Emotion-Controllable Generalized Talking Face Generation—0
Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors—0
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN—0
Example-Based Framework for Perceptually Guided Audio Texture Generation—0
Example-Based Image Synthesis via Randomized Patch-Matching—0
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network—0
Exploring 3D-aware Lifespan Face Aging via Disentangled Shape-Texture Representations—0
Facial Feature Point Detection: A Comprehensive Survey—0
Fashioning with Networks: Neural Style Transfer to Design Clothes—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
FlexiTex: Enhancing Texture Generation with Visual Guidance—0
FlexPainter: Flexible and Multi-View Consistent Texture Generation—0
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting—0
GANosaic: Mosaic Creation with Generative Texture Manifolds—0
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks—0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
Generative Image Modeling Using Spatial LSTMs—0
Generator Pyramid for High-Resolution Image Inpainting—0
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation—0
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control—0
Geometry Guided Adversarial Facial Expression Synthesis—0
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars—0
Graphcut Texture Synthesis for Single-Image Superresolution—0
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes—0
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation—0
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling—0
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis—0
Improved Style Transfer by Respecting Inter-layer Correlations—0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis—0
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis—0
Initialization and Alignment for Adversarial Texture Optimization—0
InsTex: Indoor Scenes Stylized Texture Synthesis—0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection—0
Interpreting Spatially Infinite Generative Models—0
InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting—0
Learning an Action-Conditional Model for Haptic Texture Generation—0
Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis—0
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