Image composition toolbox: everything you want to know about image composition or object insertion
-
Updated
Nov 10, 2024 - Python
Image composition toolbox: everything you want to know about image composition or object insertion
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
Alpha compositing operations and blending modes in Go.
A discriminative object placement approach
A controllable image composition model which could be used for image blending, image harmonization, view synthesis.
[CVPR 2024] The dataset, code, and model for our paper "Shadow Generation for Composite Image Using Diffusion Model", CVPR, 2024.
A curated list of papers, code and resources pertaining to image harmonization.
This is the implementation of paper 'Hierarchical Dynamic Image Harmonization' (ACM MM'2023, Oral).
Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024), including denoising, super-resolution, dehazing, image composition and enhancement models and algorithms implemented in pure Python.
Official implementations for paper: Zero-shot Image Editing with Reference Imitation
[IJCAI 2022] The first public benchmark dataset for video harmonization. The code used in our paper "Deep Video Harmonization with Color Mapping Consistency", IJCAI 2022.
An unofficial implementation of the paper "ObjectStitch: Object Compositing with Diffusion Model", CVPR 2023.
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.
[ICCV 2023] The color checker based harmonization dataset contributed in our paper "Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation", ICCV2023.
The first dataset of composite images with rationality score indicating whether the object placement in a composite image is reasonable.
Official repository of "Deep Image Composition Meets Image Forgery"
A simple baseline for image composition using text-guided inpainting model
[AAAI 2022] The first dataset on foreground object shadow generation for image composition in real-world scenes. The code used in our paper "Shadow Generation for Composite Image in Real-world Scenes", AAAI2022. Useful for shadow generation, shadow removal, image composition, etc.
[ACM MM 2023] The code used in our paper "Painterly Image Harmonization using Diffusion Model", ACM MM2023.
Add a description, image, and links to the image-composition topic page so that developers can more easily learn about it.
To associate your repository with the image-composition topic, visit your repo's landing page and select "manage topics."