This is a curated collection of diffusion model research papers, surveys, and taxonomies organized by topic and application area.
The project addresses the challenge of navigating the rapidly expanding landscape of diffusion model research by providing a structured taxonomy that categorizes papers across different domains and methodologies. Rather than presenting an exhaustive list, it organizes papers into logical groupings that reflect how diffusion models are applied across various tasks, from foundational techniques to specific applications like image generation, video synthesis, and three-dimensional content creation.
Developers and researchers exploring diffusion models will find this useful as a reference guide for understanding the field's structure and identifying relevant work in their area of interest. The taxonomy approach makes it easier to locate papers on specific applications such as text-to-image, text-to-video, and text-to-3D generation, as well as broader survey materials. This suits anyone building systems that leverage diffusion models or seeking to understand the state of research in particular subdomains.
The project shows ongoing engagement with the diffusion model research community, with contributions reflecting active interest in maintaining an organized view of the field as new work emerges. The repository structure demonstrates a commitment to keeping the taxonomy current and relevant as the landscape of diffusion model applications continues to evolve.
