Image generation

O que é necessário

Pela ordem em que as adotaria. Cada passo abre no grafo de conhecimento.

1. 1 Generative model

   Diffusion

   technique

   Generates data by learning to reverse a gradual noising process.

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2. 2 Alternative approach

   GAN

   architecture

   Generator and discriminator trained against each other to synthesise realistic data.

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3. 3 Architecture

   CNN

   architecture

   Convolutional neural network, sharing weights across positions to exploit spatial structure.

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4. 4 Conditioning

   Attention

   concept

   Mechanism that weights each part of an input by its relevance to every other part.

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