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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

Showing 201225 of 280 papers

TitleStatusHype
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing0
Video-driven Neural Physically-based Facial Asset for Production0
Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata0
Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics0
Wasserstein Distortion: Unifying Fidelity and Realism0
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction0
WordRobe: Text-Guided Generation of Textured 3D Garments0
One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block0
On Random Weights for Texture Generation in One Layer Neural Networks0
On Synthetic Texture Datasets: Challenges, Creation, and Curation0
On Using Backpropagation for Speech Texture Generation and Voice Conversion0
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization0
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering0
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures0
Pareidolia Face Reenactment0
Patch-based Texture Synthesis for Image Inpainting0
Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis0
Perception Driven Texture Generation0
Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform0
Perspective Texture Synthesis Based on Improved Energy Optimization0
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image0
Projective Urban Texturing0
Psychophysical vs. learnt texture representations in novelty detection0
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation0
Re-Identification Supervised Texture Generation0
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