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)
AnyDoor
Official implementations for paper: Anydoor: zero-shot object-level image customization (by ali-vilab)
Image-Harmonization-Dataset-iHarmony4 | AnyDoor | |
---|---|---|
1 | 1 | |
737 | 3,705 | |
0.8% | 3.6% | |
4.3 | 6.7 | |
11 days ago | about 1 month ago | |
MATLAB | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
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Need help from someone with a Baidu account
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.
AnyDoor
Posts with mentions or reviews of AnyDoor.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Image-Harmonization-Dataset-iHarmony4 and AnyDoor you can also consider the following projects:
libcom - Image composition toolbox: everything you want to know about image composition or object insertion
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.