Object-Shadow-Generation-Dataset-DESOBA VS InstanceShadowDetection

Compare Object-Shadow-Generation-Dataset-DESOBA vs InstanceShadowDetection 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)
image-composition shadow-generation shadow-removal
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InstanceShadowDetection

Instance Shadow Detection (CVPR 2020) (by stevewongv)
cvpr2020 Computer Vision Deep Learning shadow-detection detectron2 instance-shadow-detection instance-detection
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Object-Shadow-Generation-Dataset-DESOBA InstanceShadowDetection
1 1
153 148
0.7% -
5.4 2.3
3 months ago 7 months ago
Python Python
MIT License Apache License 2.0
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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.

InstanceShadowDetection

Posts with mentions or reviews of InstanceShadowDetection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.
  • [AAAI 2022] Foreground Object Shadow Generation for Composite Image
    2 projects | /r/deeplearning | 12 Jan 2022
    Our dataset DESOBA is a synthesized dataset for Object Shadow Generation. We build our dataset on the basis of Shadow-OBject Association dataset SOBA, which collects real-world images in complex scenes and provides annotated masks for object-shadow pairs. Based on SOBA dataset, we remove all the shadows to construct our DEshadowed Shadow-OBject Association (DESOBA) dataset, which can be used for shadow generation task and other shadow-related tasks as well.

What are some alternatives?

When comparing Object-Shadow-Generation-Dataset-DESOBA and InstanceShadowDetection 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.

gomp - Alpha compositing operations and blending modes in Go.

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.

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

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