Nvidia’s AI-driven photo reconstruction imaging achieves surprisingly realistic results
Nvidia’s AI-driven photo reconstruction imaging achieves surprisingly realistic results
The company has now released a video which showcases what some of their research and development has yielded, using deep learning to create a tool which can restore detail to corrupted images or grant users the ability to delete data from images and fill them with seemingly accurate visual information.
In one of the examples in the video below, Nvidia removed a small ground flag from an image, with their image restoration tool filling in the gaps to create an image which showcases the ground as if the flag never existed in the original picture.
This tool can create shockingly realistic images, even when applied to areas of a human face, though reconstructed eyes seem to deliver an uncanny valley appearance, which is perhaps a good thing for now.
Researchers from NVIDIA, led by Guilin Liu, introduced a state-of-the-art deep learning method that can edit images or reconstruct a corrupted image, one that has holes or is missing pixels. The method can also be used to edit images by removing content and filling in the resulting holes. Learn more about their research paper “Image Inpainting for Irregular Holes Using Partial Convolutions”
This application of Deep learning is one of many potential uses of AI in software, allowing complex algorithms to be developed that can create detail in images that are otherwise missing or even upscale or “enhance” images with reasonable levels of detail.
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