Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration 事件

Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration arXiv:2602.08615v3 Announce Type: replace Abstract: While generative models have become powerful tools for image synthesis, they are typically optimized for executing carefully crafted textual prompts, offering limited support for the open-ended visual exploration that often precedes idea formation. In contrast, designers frequently draw inspiration from loosely connected visual references, seeking emergent c