Recently, the Internet has simply been flooded with nude photos, even though the “models” themselves have never posed like this – AI technologies undress them. These modern algorithms have increased the realism of intimate photographs. Here is more about it.
The development of AI in photo-generating
Nude, which is compiled and processed images from existing pictures from several photo banks accessed by the neural network, is highly realistic. The author of the neural network code claims that his invention is quite enough to generate nudity at the request and taste of absolutely any person; there is no longer a need for models for erotic photography, and actresses should be abandoned altogether because they cannot offer anything new, and the neural network successfully creates pictures of female bodies with any parameters. DeepNude application represents the future of image processing, pushing the boundaries of what is possible in digital art.
How to use Deepnude application: key stages
DeepNude took the Internet by storm when the software was introduced as a free basic and advanced premium version. Over time, completely working software was created based on the former commercial version of DeepNude. So, according to https://deep-nude.org/, there are the following stages to generate an undress photo in this service:
- Data collection. First, you must collect photographs of people with and without clothes. This data is used to train the neural network and create a model.
- Neural network training. The neural network is trained to extract image features associated with clothing and human figures using a rich dataset.
- Image generation. Once trained, neural networks can be used to generate synthetic images. The network takes a photograph of a person wearing clothes and tries to create an image where they appear undressed, based on her knowledge of what clothes typically look like and how they fit on the body.
- Refinement and enhancement. Often, the results are imperfect, and additional steps are needed to refine the images and improve realism.
