UNet

A lightweight UNet with single-block levels and sliding window attention.

  • Pixel-space model in CIELAB color space
  • LAB input, RGB output
  • Decompose the input images into their frequency-domain components
  • Docling as text encoder
  • Token efficient visual text inputs
  • Variable head in the attention modules across the layers

Retrospection

Reconstruction quality, from good to worst:

  • U-Docling (this repo)
  • U-DAE
  • U-DAE-NLL
  • EQ-SAE-CIELAB
  • EQ-SAE-CIELAB-c8
  • VAE-f16-c4-kv
  • VAE-f16-c4
  • VAE-f16-c8

References

  • 2411.17459
  • 2503.11576
  • 2510.17800
  • 2510.18279
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Model size
0.4B params
Tensor type
F32
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