11 DAILY WACV Sunday My3DGen and computational power, making them impractical for individual users to maintain. Rather than requiring massive storage, My3DGen reduces the number of trainable parameters for each user to make the solution more scalable, allowing personalization without needing people to store the whole foundation model. Another challenge is the availability of personal data. Many users may not have a large dataset of their own facial images, making it difficult for traditional generative AI models to work effectively. “I'm not a selfie guy!” Luchao confesses. “I don't take many photos of myself, so data limitation is sometimes a problem. We try to make our solution work for users that have limited selfies.”
RkJQdWJsaXNoZXIy NTc3NzU=