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diffit's Introduction

DiffiT: Diffusion Vision Transformers for Image Generation

Official PyTorch implementation of DiffiT: Diffusion Vision Transformers for Image Generation.

Code and pretrained DiffiT models will be released soon !

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DiffiT achieves a new SOTA FID score of 1.73 on ImageNet-256 dataset !

teaser

In addition, DiffiT sets a new SOTA FID score of 2.22 on FFHQ-64 dataset !

teaser

We introduce a new Time-dependent Multihead Self-Attention (TMSA) mechanism that jointly learns spatial and temporal dependencies and allows for attention conditioning with finegrained control.

teaser

💥 News 💥

  • [12.04.2023] 🔥 DiffiT manuscript is now available on arXiv !

Benchmarks

Latent Space

ImageNet-256

Model Dataset Resolution FID-50K Inception Score
Latent DiffiT ImageNet 256x256 1.73 276.49

ImageNet-512

Model Dataset Resolution FID-50K Inception Score
Latent DiffiT ImageNet 512x512 2.67 252.12

Image Space

Model Dataset Resolution FID-50K
DiffiT CIFAR-10 32x32 1.95
DiffiT FFHQ-64 64x64 2.22

diffit's People

Contributors

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