Related Courses

Deep Learning and Vison

• Introduction to Computer Vision
  (Cornell, 2022)
• Convolutional Neural Networks for Visual Recognition
  (Stanford, 2022)
• Deep Learning for Computer Vision
  (U. Michigan, 2022)
• Advances in Computer Vision
  (MIT, 2021)
• Yan LeCuns's Deep Learning
  (NYU, 2021)
• Deep Learning
  (Georgia Tech, 2019)
• Computer Vision
  (Berkeley, 2018)
• Machine Learning in Computer Vision
  (Toronto, 2018)
• Deep Learning for Computer Vision
  (Barcelona, 2016)

Generative Models

• Learning-Based Image Synthesis
  (CMU 2022)
• Generative Adversarial Networks for Beginners
  (St.Hua 2021)
• Generative Models
  (UW 2020)
• Generative Adversarial Networks
  (Stanford 2020)
• Deep Generative Models
  (Columbia 2019)

Artificial Intelligence

• SIGGRAPH University: ML
• Fast AI

Tutorials, Etc..

• Theory and Application of Energy-Based Generative Models
  (CVPR 2021)
• Why are Generative Adversarial Networks so Fascinating and Annoying?
  (SIBGRAPI 2020)
• Data Augmentation and Segmentation with Generative Networks for Medical Imaging
  (NVIDIA)

Computational Photography

• Computational Imaging and Display
  (Gordon Wetzstein - Stanford, 2022)
• Computational Photography
  (Irfan Essa - Georgia Tech, 2017)
• Computational Photography
  (Fergus - NYU, 2013)