Dcgan-Completion.Tensorflow
Visit Tooldcgan-completion.tensorflow is an open-source image completion tool that uses deep learning in TensorFlow. It implements semantic image inpainting with perceptual and contextual losses.
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dcgan-completion.tensorflow is an open-source image completion tool that uses deep learning in TensorFlow. It implements semantic image inpainting with perceptual and contextual losses.
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dcgan-completion.tensorflow is an open-source project for image completion using deep learning, built on TensorFlow. It specifically implements the techniques described in Raymond Yeh and Chen Chen et al.'s paper, "Semantic Image Inpainting with Perceptual and Contextual Losses." The tool is primarily a modification of Taehoon Kim's DCGAN-tensorflow project, sharing its MIT license. It includes a pre-trained model for faces, trained on the CelebA dataset, making it ready for immediate use in specific image completion tasks. This repository is ideal for researchers and developers interested in exploring or applying deep learning for image inpainting.
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