Course materials and research seminars on diffusion models and related generative methods, including image, video, 3D, and language generation.
The Spring 2026 Visual GenAI course covers diffusion fundamentals, flow matching, efficient sampling, few-step generation, visual autoregression, and video and 3D models. It includes 12 syllabus topics, seven assignments, and exam preparation materials. Slides are in English and recordings are in Russian.
Open the course README → for the syllabus, slides, recordings, assignments, exam information, and course contacts.
The seminar series explores current research in diffusion models and related methods. The archive contains 151 entries from 2023 to September 2026, with an English index, paper references, and links to recordings in Russian.
Open the research seminar README → to browse the archive, find slides, and join the Telegram group.
Both collections include a skill that helps Codex navigate the materials and ground its answers in the relevant sources:
- Course tutor: explanations, assignment guidance, study plans, and exam practice.
- Research seminar assistant: talk discovery, paper reading guides, method comparisons, and discussion questions.
Each README explains how to use its skill in Codex CLI or the Codex IDE extension.