From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation
By Xingjian Wang · Paper · cs.CV
Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and recaptioning, yet conventional pipelines typically optimize task-specific datasets in isolation. A central challenge is not only how to curate each task-specific corpus, but also how