Text to Image AI Models: Different methodologies and different models, how it works?
Diffusion models have seen wide success in image generation. Before the diffusion models gained traction, Autoregressive models, GANs, VQ-VAE Transformer based methods, have all made remarkable progress in text-to-image research. DALL-E 2 has shown how advanced AI systems see and understand our world. Google Imagen has potential to surpass DALL-E through its much simpler design and impressive results to generate images from text.
In this video we are going to learn various text to image generation AI methodologies and their inner workings to achieve their objective.
GitHub Resources:
https://github.com/prodramp/DeepWorks...
▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬
(00:00) Content Intro
(01:10) 4 Different Methods
(01:34) Our Objective
(02:00) Text to Image Generation Methods
(03:53) Autoregressive Models
(04:13) GANs
(04:40) GANs Introduction
(07:00) VQ-VAE Transformers
(07:36) VQ-VAE - DALL-E mini/mega Models
(09:58) VQ-VAE - ruDALL-E Models
(11:20) Diffusion Models
(12:00) Diffusion Models Technology
(13:13) Diffusion Models - GLIDE by Open AI
(13:44) Diffusion Models - DALL-E 2 by Open AI
(13:56) Diffusion Models - Imagen by Google
(15:18) Google Pathway Models
(15:40) GitHub Resources
(16:10) Conclusion
Connect
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Prodramp LLC (@prodramp)
Website - https://prodramp.com
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GitHub- https://github.com/prodramp/
AngelList - https://angel.co/company/prodramp
Facebook - / prodramp
Content Creator: Avkash Chauhan (@avkashchauhan)
/ avkashchauhan
/ avkashchauhan
Tags:
#dalle #ai #imagen #cnn #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #mli #xai
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