We clearly see AI struggling with rendering hands: they often appear distorted, with misplaced fingers or unnatural shapes. Let’s explore why this happens and what it means for the future of AI-generated art.
The Complexity of Hands
Hands are among the most intricate parts of the human body. With numerous joints, fingers, and potential positions, the anatomical complexity is high. Each hand movement involves a sophisticated interplay of muscles and bones, creating countless variations in how hands can be depicted. This complexity makes it challenging for AI to capture precise details, especially when generating an image from scratch based on a text description.
Training Data Limitations
AI models like Midjourney are trained on extensive datasets containing images and their corresponding descriptions. However, the diversity and quality of hand images in these datasets might not be sufficient. If the training data lacks a wide range of hand positions and contexts, the model won’t learn the necessary details to render hands accurately. Even with large datasets, hands may not be represented in enough variety to cover all possible scenarios.
Focus on Overall Image Coherence
When generating images, AI models prioritize overall visual coherence and alignment with the input prompt. This holistic approach means the model might overlook finer details like the exact placement of fingers or the natural curvature of a hand. The primary goal is to ensure the generated image looks consistent and matches the user’s description, sometimes at the expense of accuracy in smaller elements.
Perceptual Limitations
AI models learn by identifying patterns and correlations within the training data, but they don’t understand the underlying anatomy or physics of what they’re generating. This lack of intrinsic knowledge can lead to perceptual errors, especially with complex structures like hands. The AI might produce a hand that appears correct in the context of the image but falls apart under closer scrutiny due to misplaced fingers or unnatural shapes.
Generative Artifacts
Image generation models can produce artifacts, which are unintended irregularities in the generated output. These artifacts are more likely to occur in detailed areas of an image, such as hands. The fine lines and specific shapes involved in hand depiction make them susceptible to these distortions, resulting in hands that look incorrect or uncanny.
*The text was generated by ChatGPT answering the prompt “Why Midjourney have such a problem with generating hands properly? They are misplaced quite often.”
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