AI RESEARCH
Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Model
arXiv CS.LG
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ArXi:2604.23888v1 Announce Type: new Adaptation of blackbox generative models has been widely studied recently through the exploration of several methods including generator fine-tuning, latent space searches, leveraging singular value decomposition, and so on. However, adapting large-scale generative AI tools to specific use cases continues to be challenging, as many of these industry-grade models are not made widely available.