Image morphing without reference points by applying warp maps and optimizing over them.
-
Updated
Aug 25, 2022 - Python
Image morphing without reference points by applying warp maps and optimizing over them.
Python Image Morpher (PIM) is a program that blends images to your content!
Automatic Image Morphing
Implemented a pipeline for automatic face replacement in videos (without deep learning). Image morphing, triangulation, TPS, Poisson blending, etc.
Automatic image morphing
Program to apply random elastic rubbersheet transforms to Netpbm color (.ppm, i.e., P6 raw color) images for augmenting training sets in machine learning/deep learning. The program reads an input .ppm image from stdin and writes a ppm image to stdout. Original Author: Marius Bulacu (.pgm version for characters). Adapted for .ppm and color: Lambe…
Implementation of image morphing
An automatic and non-domain-specific image morphing algorithm that doesn't require manual keypoints
Allows you to morph your face into Ryan Gosling, or anybody else!
Feature-Based Image Metamorphosis
Image Processing Algorithms implemented from scratch with in-built concurrency support <3
The programming solutions to a variety of image processing concepts and problems
Homework for Parallel Computing: Simple morph of two images in CUDA & C++ 11
Implementation of image morphing based on paper: Feature-Based Image Metamorphosis
rearrange the pixels of one image to create another image; not your usual image morph app
Autoencoders with TensorFlow 2
Image Morphing application using Python
"Image-Morphing" is a GitHub repository with code for blending two images smoothly into each other using a triangulation-based algorithm. With an easy-to-use implementation and a detailed README, this repo is beginner-friendly.
Add a description, image, and links to the image-morphing topic page so that developers can more easily learn about it.
To associate your repository with the image-morphing topic, visit your repo's landing page and select "manage topics."