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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 51–100 of 280 papers

TitleStatusHype
TexTile: A Differentiable Metric for Texture TileabilityCode1
On Demand Solid Texture Synthesis Using Deep 3D NetworksCode1
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable RenderingCode1
FeatureFlow: Robust Video Interpolation via Structure-to-Texture GenerationCode1
MagicEraser: Erasing Any Objects via Semantics-Aware ControlCode1
Image Inpainting via Conditional Texture and Structure Dual GenerationCode1
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTicsCode1
Iterative Token Evaluation and Refinement for Real-World Super-ResolutionCode1
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture SynthesisCode1
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame InterpolationCode1
Everything's Talkin': Pareidolia Face ReenactmentCode1
Emotion-Controllable Generalized Talking Face Generation—0
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images—0
A Procedural Texture Generation Framework Based on Semantic Descriptions—0
DynTypo: Example-Based Dynamic Text Effects Transfer—0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis—0
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata—0
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations—0
Dynamic Neural Style Transfer for Artistic Image Generation using VGG19—0
Dual Pipeline Style Transfer with Input Distribution Differentiation—0
Color and Texture Dual Pipeline Lightweight Style Transfer—0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network—0
DressCode: Autoregressively Sewing and Generating Garments from Text Guidance—0
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On—0
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics—0
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation—0
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology—0
DreamPolish: Domain Score Distillation With Progressive Geometry Generation—0
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control—0
DragTex: Generative Point-Based Texture Editing on 3D Mesh—0
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation—0
CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion—0
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models—0
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence—0
Improved Style Transfer by Respecting Inter-layer Correlations—0
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis—0
Diversified Texture Synthesis with Feed-forward Networks—0
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks—0
Disentangled Pose and Appearance Guidance for Multi-Pose Generation—0
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures—0
Diffusion-based Holistic Texture Rectification and Synthesis—0
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling—0
GANosaic: Mosaic Creation with Generative Texture Manifolds—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
Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans—0
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting—0
Differentiable Programming of Reaction-Diffusion Patterns—0
Bayesian Active Appearance Models—0
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