Image Generation and Enhancement

Content

This lecture offers an introduction to advanced methods in image synthesis and enhancement, explaining the cutting-edge approaches that power modern tools such as Stable Diffusion, Midjourney, Flux, and, more recently, ChatGPT. Key topics covered in the course are:

  • Regression-based Image Enhancement
  • Convolutional Neural Networks for Image Enhancement
  • Image Quality Assessment for Generated and Enhanced Images
  • Neural Style Transfer
  • Variational Autoencoders
  • Normalizing Flows
  • Neural Ordinary Differential Equations
  • Generative Adversarial Networks (GANs)
  • Attention and Transformers for Image Enhancement and Synthesis
  • Energy-based Modeling
  • Diffusion & Flow-Matching Models
  • Ethics and Social Responsibility in Image Generation and Enhancement

Materials

We use OLAT to organize this course.

Contact

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