Big Marigold update! Last year, we showed how to turn Stable Diffusion 2 into a SOTA depth estimator with a few synthetic samples and 2–3 days on just 1 GPU. Today's release features: 🏎️ 1-step inference 🔢 New modalities 🫣 High resolution 🧨 Diffusers support 🕹️ New demos 🧶👇

Are you interested in joining our group? 🔥🚀

I am hiring a Postdoctoral Researcher to work on Computer Vision for Autonomous Robots in Life Science Automation. #ComputerVision #Robotics #LabAutomation Apply here: efzu.fa.em2.oraclecloud.com/hcmUI/Candid...

MDEC Challenge update! The 4th Monocular Depth Estimation Workshop at #CVPR2025 will be accepting submissions in two phases: 🚀 Dev phase: Feb 1 - Mar 1 🎯 Final phase: Mar 1 - Mar 21 Website: jspenmar.github.io/MDEC/ 🌐 Codalab: codalab.lisn.upsaclay.fr/competitions... Bring your best depth!

🚀 Our depth completion method SteeredMarigold will be presented at #ICRA2025 🚀. Meet @lanalpa.bsky.social and me in Atlanta between 19-23 May! invt.io/1exb0qqtfdj #robotics #depthcompletion #depthestimation

🌟 Exciting News! 🌟 We're thrilled to announce the launch of our website for SteeredMarigold 🚀 steeredmarigold.github.io. Our cutting-edge method helps to overcome limitations of depth sensors by completing missing areas in the depth maps 🤖. The code is coming! #DepthCompletion #DepthEstimation

Our paper “A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion" is out as preprint! By myself, @sscardapane.bsky.social, @rgring.bsky.social and @lanalpa.bsky.social 📄 arxiv.org/abs/2501.07451

Anyone interested in dynamic neural networks? 🧐

Introducing ⇆ Marigold-DC — our training-free zero-shot approach to monocular Depth Completion with guided diffusion! If you have ever wondered how else a long denoising diffusion schedule can be useful, we have an answer for you! Details 🧵

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