No matter where you sit on the enormous and complex debate regarding AI models and their use of datasets to generate new images, artworks, writing and even movies, there’s one thing everyone can agree on: they’re damned creepy at drawing human hands. But why? Especially when AIs are so capable of recreating the seemingly far greater complexity of human faces. To find the answers, we decided to speak to a leading authority on this subject: an AI.
ChatGPT is by far the most well-known AI language model just now, causing huge ways across the world with its ability to hold natural conversations, answer complex questions, and generate extraordinary poetry, writing, and even the most complicated of human discourse: games journalism. However, as yet it’s incapable of rendering pictures, music, or video, so therefore a more impartial source on these areas.
I began by asking ChatGPT, “Why is AI so bad at rendering human fingers?”
“Rendering realistic human fingers is challenging…
2023-03-10 07:00:04 AI Explain Why They're So Bad At Drawing Human Fingers
Source from kotaku.com
Artificial intelligence (AI) has made remarkable strides in recent years and has revolutionized various fields. From healthcare to finance, AI has found remarkable application. In art, AI has shown similar progress but has struggled to depict human fingers in drawings. The issue may seem small, but it’s essential to understand why it exists and how it affects the progress of AI in art.
Depicting human fingers in drawings may seem like an easy task, but it’s filled with complex challenges. For instance, fingers move in different ways, making them difficult to replicate accurately in a drawing. The way fingers bend, the angle they move, and the form they take while in motion is unique to every individual. This complicates the task for AI algorithms which strive to replicate the exact characteristics of fingers in drawings.
Another challenge faced by AI in drawing fingers is the texture of the human skin. The lines, wrinkles, and bumps create specific patterns that add depth and realism to a drawing. However, AI algorithms can’t replicate the texture of human skin in a drawing as perfectly as an artist would. Most algorithms can’t identify the subtle variations in texture of human fingers due to the vast amount of data required to train such algorithms.
Attempts to resolve the issue have been made through the use of neural networks designed to teach AI how to replicate human features better. However, even with neural networks, fingers remain an area where AI struggles to replicate human characteristics accurately. This is because the data needed to train neural networks on the intricacies of human fingers is still not adequate.
Furthermore, the lack of training data for AI algorithms to depict human fingers accurately arises from the fact that artists don’t all necessarily create realistic depictions of fingers. Instead, many produce stylized versions of human fingers that are not necessarily representative of reality. Therefore, AI may face difficulty in identifying which aspects of the drawing are realistic and which are stylized.
In conclusion, the challenges faced by AI algorithms in depicting human fingers are complex and widespread. The intricacy of human movement, texture, and style make it hard for algorithms to replicate the features accurately. Ultimately, AI’s struggles in the depiction of human fingers in drawing have slowed down the pace of AI creativity in art. Therefore, more resources and techniques need to be developed to overcome these challenges to unlock the full potential of AI in the world of art.