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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 91–100 of 280 papers

TitleStatusHype
Exploring 3D-aware Lifespan Face Aging via Disentangled Shape-Texture Representations—0
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering—0
Single Mesh Diffusion Models with Field Latents for Texture Generation—0
Iterative Token Evaluation and Refinement for Real-World Super-ResolutionCode1
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
Text-Guided 3D Face Synthesis -- From Generation to EditingCode1
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion PriorsCode2
Text-Guided Texturing by Synchronized Multi-View DiffusionCode1
Enhancing Object Coherence in Layout-to-Image SynthesisCode0
Dual Pipeline Style Transfer with Input Distribution Differentiation—0
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