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Introducing Marigold 🌼 - 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: 🌐 Website: 🤗 Hugging Face Space: 📄 Paper: 👾 Code:...

490,031 Aufrufe • vor 2 Jahren •via X (Twitter)

9 Kommentare

Profilbild von AI葵(Aoi) 🇹🇼NeRF技術型Vtuber
AI葵(Aoi) 🇹🇼NeRF技術型Vtubervor 2 Jahren

70s of inference for an image is very slow..

Profilbild von Anton Obukhov
Anton Obukhovvor 2 Jahren

We focus on the quality first - speed will come later through research and improvements in diffusion samplers. Arguably, Stable Diffusion is also slower than most of the GANs :)

Profilbild von Bilawal Sidhu
Bilawal Sidhuvor 2 Jahren

Damn those are some crispy depth maps!

Profilbild von Chris Offner
Chris Offnervor 2 Jahren

Wow, those depth maps look amazing. Great work! There goes my course project for Deep Learning. 😅

Profilbild von Boyuan Chen
Boyuan Chenvor 2 Jahren

Is this metric or relative depth?

Profilbild von Anton Obukhov
Anton Obukhovvor 2 Jahren

Relative

Profilbild von Janek Mann
Janek Mannvor 2 Jahren

I also consider this strong evidence that Stable Diffusion learned much stronger 3D scene understanding than commonly assumed.

Profilbild von Omar Sanseviero
Omar Sansevierovor 2 Jahren

Very very cool!

Profilbild von Tom
Tomvor 2 Jahren

Wow. More detailed than the ground truth, very cool to see.

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