AlonzoLeeeooo/awesome-text-to-image-studies

Organizes research papers on diffusion-based text-to-image generation across multiple research directions—unconditional generation, personalization, and text-guided editing—with papers indexed by venue and year. Beyond core T2I methods, it catalogs emerging intersections like Diffusion Transformers, LLM integration, and federated learning applications. The repository includes curated datasets, toolkits, and links to production systems, serving as a comprehensive reference for tracking the evolution of generative model architectures from 2020 onwards.

750 stars.