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Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"

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SODA: Bottleneck Diffusion Models for Representation Learning

overview

Official repository for CVPR paper SODA: Bottleneck Diffusion Models for Representation Learning

Check out our website here and our slides here. Pytorch implementation is coming soon!

@article{hudson2023soda,
  title={SODA: Bottleneck Diffusion Models for Representation Learning},
  author={Hudson, Drew A and Zoran, Daniel and Malinowski, Mateusz and Lampinen, Andrew K and Jaegle, Andrew and McClelland, James L and Matthey, Loic and Hill, Felix and Lerchner, Alexander},
  journal={arXiv preprint arXiv:2311.17901},
  year={2023}
}

Latent Interpolation

interpolation_afhq_animals.mp4

Style & Content Separation

style_structure_separation_afhq_animals.mp4

Novel View Synthesis (from 1 view)

shapenet_1.mp4
shapenet_2.mp4

Novel View Synthesis (from 2 views)

gso_1.mp4

Unsupervised Discovery of Semantic Attributes

Blossoming:

oxford_flowers_blossom.mp4

Petals Number:

oxford_flowers_petals_num.mp4

Golden Core:

oxford_flowers_golden_center.mp4

Blue Color:

oxford_flowers_color_blue.mp4

Red Color:

oxford_flowers_color_red.mp4

Yellow Color:

oxford_flowers_color_yellow.mp4

Maturity:

equivariant

Reconstructions (Original Input & Reconstructred Output): recons recons2

More Animations are Coming Soon!

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