tohinz/multiple-objects-gan
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
This project helps researchers in computer vision generate images containing multiple distinct objects, positioned accurately. You provide existing datasets of images like MNIST digits or objects from the CLEVR and MS-COCO datasets, and it produces new, synthesized images where the objects are correctly placed and structured according to the trained model. This tool is for researchers and students working on generative models and synthetic image creation.
112 stars. No commits in the last 6 months.
Use this if you need to create synthetic images containing multiple objects arranged in specific, learned spatial configurations for research or experimental purposes.
Not ideal if you're looking for a simple, out-of-the-box image generation tool for everyday use or commercial applications, as it requires familiarity with research setups and specific datasets.
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112
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14
Language
Python
License
MIT
Category
Last pushed
Jan 13, 2022
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