A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, which aims to generate realistic composite image.

Image composition toolbox: everything you want to know about image composition or object insertion

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

A controllable image composition model which could be used for image blending, image harmonization, view synthesis.

Python package that implements image blend modes

IIPMooViewer is an advanced javascript HTML5 image viewer for streaming high resolution scientific images

A python library for instagram filters

A CV project, based on cimg library to deal with simple Image Stitching task.

A curated list of papers, code and resources pertaining to image blending.

Fast, scalable, and extensive implementations of Poisson image editing algorithms.

Use this module to apply a number of blending modes to a background and foreground image

Realistic image blending -- a Matlab implementation of MPB: A modified Poisson blending technique, Computational Visual Media 2015.

MATLAB script that blends two images together using Laplacian Pyramidal blending given an alpha mask separating the two images

Image blending by using Gaussian and Laplacian pyramids

Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.

Easily create an instance segmentation dataset from an existing pool of objects of interest, distractor objects and background images. Easy configuration, diverse image compositions, multiple blending methods, Dockerized.

Inspired from GP-GAN: Towards Realistic High-Resolution Image Blending using PyTorch

Gradient-domain processing techniques including Poisson blending, Laplacian blending, color transfer, and more

This repository contains an implementation of panorama stitching, a computer vision technique used to combine multiple images into a seamless panoramic image. The project leverages classical techniques such as feature detection, matching, and RANSAC, along with a deep learning approach using Homography Net and Tensor DLT.