It will find a match for each word and only after that it will begin to combine pictures and generate images.Or try to write the request in detail: “a young girl on the beach, baroque style.” In this case, AI will create a creative illustration. side of neural networks. It is still unclear whether AI works can be us without attribution, whether the network is consider the owner of the work or the developer. Some authors add a watermark to pictures, others give paid access to the neural network. This closes some of the legal issues, but they still remain.
There are also disputes about the legal
Another issue is the learning process. Neural networks can Bosnia and Herzegovina Email List produce incorrect results for queries if they were train on a database with errors. For example, when a photo of a young girl is sign as “an elderly woman” or a KAMAZ is sign as “car”, and the designer is looking for a passenger car. This misleads the neural network, it gets confus and creates irrelevant visual images. Even when the request is written in as much detail as possible, because it generates itself. If she nes a picture of a fast car, she can draw it in a realistic, cartoon style, or in pencil. Therefore, another difficulty is to direct the neural network so that it draws correct pictures in the corporate style and does not try to impose its own.
The biggest problems for neural networks
There is still a problem with rendering real human Buy Email List faces. The AI may blend multiple images at once, the lighting and shadow effects will be slightly wrong, or the borders of two objects will be merg, which should be different. are usually caus by the eyes – in the generat images they turn out to be blurry, without pupils, or vice versa with one pupil without an iris. Artificial intelligence versus designers: who is the future Now neural networks will not replace designers, but they can be consider as assistants.