A collection of color and style transfer algorithms and objective evaluation metrics.
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Updated
May 26, 2024 - Python
A collection of color and style transfer algorithms and objective evaluation metrics.
6 Color Transfer / Mismatch Correction methods in Python including [arXiv:2303.06657] “Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method,” 2023
🔥 [CVPR 2020] STEFANN: Scene Text Editor using Font Adaptive Neural Network (official code).
🔷 An implementation of the paper "Color Transfer between Images" by Erik Reinhard, Michael Adhikhmin, Bruce Gooch and Peter Shirley (2001).
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
[CGI 2020] Official PyTorch Implementation for "Deep Color Transfer using Histogram Analogy"
Color transfer script using one-dimensional optimal transport.
AI-Generated Presets for Faithful 4K Color Style Transfer in Real Time [CVPR 2023]
Showcasing mini projects using OpenCV, where I explore the endless possibilities of computer vision and image processing.
Python implementation of colour transfer algorithm based on linear Monge-Kantorovitch solution
Convert the normal maps used in the game Transformers: Fall of Cybertron to the Mikk format
💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
Three methods of color transfer implemented in python.
This repository composes of 2 different parts: dithering and quantization; color transfer between 2 reference images. In the first part, images are tested with different levels of quantization and Floyd-Steinberg dithering. In the second part, the colors of one image are transferred onto the other image.
This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.
Tools made for usage alongside artistic style transfer projects
This repository adds noise to an image by performing color transfer and recovery between two images, then calculates PSNR between two images.
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