libcom VS Image-Harmonization-Dataset-iHarmony4

Compare libcom vs Image-Harmonization-Dataset-iHarmony4 and see what are their differences.

libcom

Image composition toolbox: everything you want to know about image composition or object insertion (by bcmi)
foreground-object-search image-blending image-composition image-harmonization inharmonious-region-localization object-placement painterly-image-harmonization shadow-generation cross-domain-image-composition generative-image-composition
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Image-Harmonization-Dataset-iHarmony4

[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. (by bcmi)
image-harmonization image-harmonization-dataset deep-image-harmonization composite-images image-composition domain-verification domain-translation deep-image-composition
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libcom Image-Harmonization-Dataset-iHarmony4
1 1
200 737
12.5% 0.8%
8.1 4.3
8 days ago 8 days ago
Python MATLAB
Apache License 2.0 MIT License
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libcom

Posts with mentions or reviews of libcom. We have used some of these posts to build our list of alternatives and similar projects.

Image-Harmonization-Dataset-iHarmony4

Posts with mentions or reviews of Image-Harmonization-Dataset-iHarmony4. We have used some of these posts to build our list of alternatives and similar projects.
  • Need help from someone with a Baidu account
    1 project | /r/deeplearning | 23 May 2021
    I'm trying to download the pre-trained DoveNet model (for image harmonization) but it seems you need a Baidu account to download from Baidu Cloud. I've spent almost 2 hours google-translating my way through the app but I don't think I can register without a Chinese phone number.

What are some alternatives?

When comparing libcom and Image-Harmonization-Dataset-iHarmony4 you can also consider the following projects:

image-blending-opencv - A simple example of blending 2 images with OpenCV

Object-Shadow-Generation-Dataset-DESOBA - [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.

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

gomp - Alpha compositing operations and blending modes in Go.

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

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

libcom vs image-blending-opencv Image-Harmonization-Dataset-iHarmony4 vs Object-Shadow-Generation-Dataset-DESOBA libcom vs Object-Shadow-Generation-Dataset-DESOBA Image-Harmonization-Dataset-iHarmony4 vs Awesome-Image-Composition libcom vs gomp libcom vs Awesome-Image-Composition libcom vs fast-poisson-image-editing libcom vs BlendModes