Anton Obukhov

toshas

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Introducing Marigold-LCM ๐ŸŒผ โ€” a FAST version of the now popular state-of-the-art depth estimator! Thanks to the latent consistency distillation, it retains the precision of the original Marigold but reaches the solution in just a few steps!

Check out the teaser video attached below and play with the new demo - it accepts videos now! Also, meet the new team member: Tianfu Wang ( @Tianfwang )

๐Ÿค— Demo: prs-eth/marigold-lcm
๐Ÿค— Model: prs-eth/marigold-lcm-v1-0
๐Ÿค— Original Marigold post: https://huggingface.co/posts/toshas/656973498012745
๐Ÿค— Paper: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation (2312.02145)
๐ŸŒ Website: https://marigoldmonodepth.github.io
๐Ÿ‘พ Code: https://github.com/prs-eth/marigold
๐Ÿ‘พ Code: pip install diffusers
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Introducing Marigold ๐ŸŒผ - a universal monocular depth estimator, delivering incredibly sharp predictions in the wild! Based on Stable Diffusion, it is trained with synthetic depth data only and excels in zero-shot adaptation to real-world imagery. Check it out:

๐Ÿค— Hugging Face Space: https://huggingface.co/spaces/toshas/marigold
๐Ÿค— Hugging Face Model: Bingxin/Marigold
๐Ÿค— Hugging Face Paper: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation (2312.02145)
๐ŸŒ Website: https://marigoldmonodepth.github.io
๐Ÿ‘พ Code: https://github.com/prs-eth/marigold
๐Ÿ‘พ Code: pip install diffusers (check comments to this post for details!)
๐Ÿ“„ Paper: https://arxiv.org/abs/2312.02145

Brought to you by the fantastic team from the Photogrammetry and Remote Sensing group of ETH Zurich: Bingxin Ke ( @Bingxin ), Anton Obukhov ( @toshas ), Shengyu Huang, Nando Metzger ( @nandometzger ), Rodrigo Caye Daudt, and Konrad Schindler.

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