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Imagen: Text-to-Image Generation Using Diffusion Models - Lecture 9

Offered By: University of Central Florida via YouTube

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Diffusion Models Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Neural Networks Courses Image Processing Courses

Course Description

Overview

Explore the innovative Imagen text-to-image diffusion model in this 29-minute lecture from the University of Central Florida. Delve into key components such as the text encoder, efficient unit, and convolution order. Examine the diffusion model's architecture, including static and dynamic thresholding techniques. Analyze qualitative results and thresholding outcomes. Investigate upsampling methods and noise level conditioning. Gain valuable insights into cutting-edge AI-powered image generation techniques and their practical applications.

Syllabus

Introduction
Text Encoder
Efficient Unit
Convolution Order
Efficiency
XR
Diffusion Model
Static Thresholding
Dynamic Thresholding
Qualitative Results
Thresholding Results
Upsampling
Noise Level Conditioning
Conclusion


Taught by

UCF CRCV

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