gomp VS Object-Shadow-Generation-Dataset-DESOBA

Compare gomp vs Object-Shadow-Generation-Dataset-DESOBA and see what are their differences.

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)
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gomp Object-Shadow-Generation-Dataset-DESOBA
1 1
9 153
- 0.7%
10.0 5.4
about 1 year ago 3 months ago
Go 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.
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gomp

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

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 gomp and Object-Shadow-Generation-Dataset-DESOBA you can also consider the following projects:

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.

InstanceShadowDetection - Instance Shadow Detection (CVPR 2020)

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

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.