Semi-procedural textures using PPTBF (Point Process Texture Basis Functions). Work in progress: version v1.0.0
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Updated
Jun 19, 2020 - C++
Semi-procedural textures using PPTBF (Point Process Texture Basis Functions). Work in progress: version v1.0.0
A Matlab class for generating motion clouds (spatio-temporal random textures).
Texture synthesis in a Jupyter Notebook based on the Efros-Leung method
Command-line tool to generate 1D, 2D, or 3D noise textures
Implementation and results from "Beyond GOTEX: Using Multiple Feature Detectors for Better Texture Synthesis"
This project try to better understand the power of the Gatys and al. texture synthesis algorithm by using news kind of cost function.
Exploring Neural Style Transfer with keras.
An Implementation of Texture Synthesis problem.
hierarchical neural model based on V1>V2>V4 function and anatomy
Library with useful images for applying image synthesis techniques.
Hierarchical VAE for Texture reconstruction & synthesis
Statistics-Based Text Effects Transfer
A Tensorflow implementation of multi-scale texture synthesis algorithm based on Gatys' deep texture algorithm.
A Image Processing project developed in Python using Google Colab with the purpose of implementing texture synthesis algorithms (Inpainting and Super-Resolution), using specific libraries and a neural network.
Controllable Multiple Textures Expansion & Transfer
Utilities for generating maximum entropy textures according to Victor and Conte 2012. **GitHub mirror**: development happens at https://gitlab.com/epiasini/metex
Python script to generate tiled textures. Using PyGame for the display.
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