\( \text{Agenda of this Lecture:}\)
Gaussian Variable
Gaussian Variable
\( \mathcal{L}_{\text{VAE}} = \text{Reconstruction} + \text{Prior Matching} \)
\( \mathcal{L}_{\text{Diff}} = \text{Reconstruction} + \text{Prior Matching} + \text{Noise Matching} \)
Gaussian Variable
Gaussian Variable
\( \mathcal{L}_{\text{VAE}} = \text{Reconstruction} + \text{Prior Matching} \)
\( \mathcal{L}_{\text{Diffusion-Training}} = \text{Noise Matching} \)
Unconditional Image Generation
Classifier Guidance
UNet
Cross Attention Maps
Cross Attention Maps for Editing