Awesome-Object-Placement Alternatives

Similar projects and alternatives to Awesome-Object-Placement based on common topics and language

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A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.
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www.influxdata.com featured

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[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.
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[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.
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Alpha compositing operations and blending modes in Go. (by esimov)

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AIGC and Image Composition
2 projects | /r/computervision | 6 Apr 2023

LC-AIGC has one remaining problem, that is, the automatic generation of bounding boxes. In some application scenarios like data augmentation, we need to automatically generate a large number of reasonable bounding boxes. This task is known as object placement, and the relevant materials are summarized in https://github.com/bcmi/Awesome-Object-Placement. Previously, I have also introduced our OPA dataset and GracoNet method.