zengxianyu/co-mod-gan-pytorch
pytorch implementation of the paper ``Large Scale Image Completion via Co-Modulated Generative Adversarial Networks"
This tool helps creative professionals, researchers, or anyone working with images to fill in missing or damaged parts of a picture. You provide an image with a masked-out area (the part you want to repair or generate), and the system intelligently reconstructs the missing section, producing a complete, natural-looking image. It's ideal for visual content creators, digital artists, or anyone needing to restore or alter photographic content.
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Use this if you need to seamlessly repair or generate content within specific masked regions of high-resolution images, like portraits (FFHQ) or landscape scenes (Places).
Not ideal if you need to generate entirely new images from scratch or if your primary goal is basic image editing like cropping or color correction.
Stars
59
Forks
10
Language
Python
License
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Category
Last pushed
May 31, 2022
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