How Neural Networks Hallucinate Missing Pixels for Image Inpaintingby@kraken
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How Neural Networks Hallucinate Missing Pixels for Image Inpainting

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Image inpainting is the art of synthesizing alternative contents for the reconstruction of missing or deteriorated parts of an image such that the modification is semantically correct and visually realistic. In this blog, we discuss how this phenomenon of hallucination in neural networks can be utilized to perform the task. We will focus on how this technique can be used to be used in an image priors. The main idea is that even a randomly-initial convolutional neural network can be. used as a handcrafted. prior with high-quality performance in inverse problems such as image in painting and denoising.

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Rishab Sharma HackerNoon profile picture

@kraken

Rishab Sharma

Data Scientist and Visual Computing Researcher


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