What are the main challenges of using AI in 3D modeling?
Some key challenges include data quality, complexity of 3D geometry, and the need for human creativity.
How does data quality affect AI in 3D modeling?
Data quality is crucial; poor data can lead to inaccurate models and hinder the AI's learning process.
Can AI handle complex geometries effectively?
AI can struggle with complex geometries due to the intricacies involved, often requiring advanced algorithms.
What role does human creativity play in this process?
Human creativity is essential for guiding AI, especially in making artistic decisions and refining models.
Are there any recent advancements that address these challenges?
Yes, recent advancements include improved algorithms and better training datasets that enhance AI's capabilities.
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