💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
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Updated
Jul 22, 2024 - Python
💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
AI-Generated Presets for Faithful 4K Color Style Transfer in Real Time [CVPR 2023]
This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.
🔥 [CVPR 2020] STEFANN: Scene Text Editor using Font Adaptive Neural Network (official code).
Tools made for usage alongside artistic style transfer projects
[CGI 2020] Official PyTorch Implementation for "Deep Color Transfer using Histogram Analogy"
Three methods of color transfer implemented in python.
Showcasing mini projects using OpenCV, where I explore the endless possibilities of computer vision and image processing.
6 Color Transfer / Mismatch Correction methods in Python including [arXiv:2303.06657] “Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method,” 2024
This repository contains the code in paper "Translucent Image Recoloring through Homography Estimation".
Python implementation of colour transfer algorithm based on linear Monge-Kantorovitch solution
This repository adds noise to an image by performing color transfer and recovery between two images, then calculates PSNR between two images.
🔷 An implementation of the paper "Color Transfer between Images" by Erik Reinhard, Michael Adhikhmin, Bruce Gooch and Peter Shirley (2001).
A collection of color and style transfer algorithms and objective evaluation metrics.
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
Convert the normal maps used in the game Transformers: Fall of Cybertron to the Mikk format
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.
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