DataHour: Diffusion Models for Generative Arts
DataHour: Diffusion Models for Generative Arts
21 Oct 202213:10pm - 21 Oct 202214:10pm
DataHour: Diffusion Models for Generative Arts
About the Event
Diffusion models form a separate class of Adversarial Networks aimed at diffusing different latent data points through a space in order to create a different latent space. Generally traditional GAN variants like DCGAN/CycleGAN etc are predominantly used for generating different latent spaces, diffusion however is a dual step process which tries to merge different latent spaces to create an entirely new one.
In this DataHour, Abhilash will explain about the flow of generative latent state representation from GANs, VAEs to Diffusion methods. Since Diffusions are based on the Markov model, he will be building small diffusion models to make you understand latent space representation from images. He will also demonstrate to you how to analyze contemporary multimodal models such as Dall-e/CLIP/unCLIP/GLIDE/Imagen in the context of Diffusion models to replicate and create "Generative AI" which is taking the NFT world by storm.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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