Image-Harmonization-Dataset-iHarmony4 VS Object-Shadow-Generation-Dataset-DESOBA

Compare Image-Harmonization-Dataset-iHarmony4 vs Object-Shadow-Generation-Dataset-DESOBA and see what are their differences.

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
Source Code
Suggest alternative
Edit details

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. (by bcmi)
image-composition shadow-generation shadow-removal
Source Code
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
Image-Harmonization-Dataset-iHarmony4 Object-Shadow-Generation-Dataset-DESOBA
1 1
736 153
1.2% 2.0%
4.4 5.4
2 months ago 2 months ago
MATLAB Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
  • 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.

Object-Shadow-Generation-Dataset-DESOBA

Posts with mentions or reviews of Object-Shadow-Generation-Dataset-DESOBA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.

What are some alternatives?

When comparing Image-Harmonization-Dataset-iHarmony4 and Object-Shadow-Generation-Dataset-DESOBA you can also consider the following projects:

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

InstanceShadowDetection - Instance Shadow Detection (CVPR 2020)

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.

Image-Harmonization-Dataset-iHarmony4 vs libcom Object-Shadow-Generation-Dataset-DESOBA vs InstanceShadowDetection Image-Harmonization-Dataset-iHarmony4 vs Awesome-Image-Composition Object-Shadow-Generation-Dataset-DESOBA vs Awesome-Image-Composition Object-Shadow-Generation-Dataset-DESOBA vs gomp Object-Shadow-Generation-Dataset-DESOBA vs libcom