YoVDO

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Offered By: University of Central Florida via YouTube

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Computer Vision Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Image Processing Courses

Course Description

Overview

Explore the innovative concept of unpaired image-to-image translation through cycle-consistent adversarial networks in this 27-minute lecture from the University of Central Florida. Delve into the challenges, intuition, and key components of this approach, including cycle loss and full objective functions. Examine the roles of generators and discriminators, and analyze various results, including pics-to-pics transformations and ablation studies. Gain insights into the identity requirement and potential failures of this technique, providing a comprehensive understanding of this cutting-edge image processing method.

Syllabus

Introduction
Examples
Challenge
Intuition
Cycle Loss
Full Objective Function
Generators
Discriminator
Results
Pics to Pics
The Results
Ablation Results
Identity Requirement
Failures


Taught by

UCF CRCV

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