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Found 4 papers, 2 papers with code
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples
The output of this stage provides pixel-level pseudo-labels, instead of the manual pixel-level labels required by supervised methods.
Image Shape Manipulation from a Single Augmented Training Sample
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.
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Image Shape Manipulation from a Single Augmented Training Sample
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.
Training End-to-end Single Image Generators without GANs
We present AugurOne, a novel approach for training single image generative models.
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