Diffusion & Large Vision Models Workshop

This workshop explores the evolution of computer vision from early classification models to modern generative systems powered by diffusion and large vision models. Through a mix of theory and practical insights, learners will understand how these models work and how they’re applied in real-world scenarios.

• Overview of key milestones in computer vision, from CNNs to Vision Transformers.
• Introduction to multimodal learning with models like CLIP that connect vision and language.
• Deep dive into generative models: autoencoders, GANs, and diffusion models.
• Controllability and practical applications: inpainting, segmentation, text-to-image, and video generation.

By the end, participants will gain a strong conceptual understanding of how large vision models are designed, how they generate and edit images, and how they are shaping the future of generative models.