Masked Diffusion Transformer (MDT)

Masked Diffusion Transformer is the latest technology in image synthesis, achieving SOTA (State of the Art) at ICCV 2023.

CommonProductImageImageImage Synthesis
MDT explicitly enhances the ability of diffusion probability models (DPMs) to learn relationships between object parts in images by introducing a masked latent model scheme. MDT operates in the latent space during training, masking certain tokens, and then designs an asymmetrical diffusion transformer to predict masked tokens from unmasked tokens while maintaining the diffusion generation process. MDTv2 further improves the performance of MDT through more efficient macro network structures and training strategies.
Visit

Masked Diffusion Transformer (MDT) Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

Masked Diffusion Transformer (MDT) Visit Trend

Masked Diffusion Transformer (MDT) Visit Geography

Masked Diffusion Transformer (MDT) Traffic Sources

Masked Diffusion Transformer (MDT) Alternatives