PixelFlow: Pixel-Space Generative Models with Flow
We present PixelFlow, a family of image generation models that operate
directly in the raw pixel space, in contrast to the predominant latent-space
models. This approach simplifies the image generation process by eliminating
the need for a pre-trained Variational Autoencoder (VAE) and enabling the whole
model end-to-end trainable. Through efficient cascade flow modeling, PixelFlow
achieves affordable computation cost in pixel space. It achieves an FID of 1.98
on 256times256 ImageNet class-conditional image generation benchmark. The
qualitative text-to-image results demonstrate that PixelFlow excels in image
quality, artistry, and semantic control. We hope this new paradigm will inspire
and open up new opportunities for next-generation visual generation models.
Code and models are available at https://github.com/ShoufaChen/PixelFlow.
67f86da6ac109135e18e150f
Shoufa Chen
67f86da6ac109135e18e1510
Chongjian Ge
67f86da6ac109135e18e1511
Shilong Zhang
67f86da6ac109135e18e1512
Peize Sun
claimed_verified
2025-04-20T15:03:58.388Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/640dc9bf8512ec51d7f0ac1a/sT4rdEoQbzfW6D3xDVdqt.jpeg
peizesun
user
peizesun
67f86da6ac109135e18e1513
Ping Luo
PixelFlow: Pixel-Space Generative Models with Flow
We present PixelFlow, a family of image generation models that operate
directly in the raw pixel space, in contrast to the predominant latent-space
models. This approach simplifies the image generation process by eliminating
the need for a pre-trained Variational Autoencoder (VAE) and enabling the whole
model end-to-end trainable. Through efficient cascade flow modeling, PixelFlow
achieves affordable computation cost in pixel space. It achieves an FID of 1.98
on 256times256 ImageNet class-conditional image generation benchmark. The
qualitative text-to-image results demonstrate that PixelFlow excels in image
quality, artistry, and semantic control. We hope this new paradigm will inspire
and open up new opportunities for next-generation visual generation models.
Code and models are available at https://github.com/ShoufaChen/PixelFlow.
PixelFlow is an end-to-end trainable image generation model operating directly in pixel space, achieving high-quality results without a pre-trained VAE and efficient computation cost.
PixelFlow Variational Autoencoder (VAE) cascade flow modeling FID class-conditional text-to-image