🤩 Thera, the first state-of-the-art model that allows super-resolution to arbitrary-scale ! App is live on @huggingface.

We present Thera🔥: The new SOTA arbitrary-scale super-resolution method with built-in anti-aliasing. Our approach introduces Neural Heat Fields, which guarantee exact Gaussian filtering at any scale, enabling continuous image reconstruction without extra computational cost.

Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields Alexander Becker (@A99529971), Rodrigo Caye Daudt (@rcdaudt), Dominik Narnhofer, Torben Peters (@PeterTor_), Me (@NandoMetzger), Jan Dirk Wegner, Konrad Schindler.

thera Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution github.com/prs-eth/thera

Researchers at @ETH_en have developed an AI-based solution that uses #satellite images to measure snow depth with a much better resolution than previous methods. Good news for me as a touring skier⛷️❄️🏔️! ethz.ch/en/news-and-events/e…

It’s great to see my work featured on ETH’s website, thank you!

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: marigoldmonodepth.github.io/ 🤗 Hugging Face Space: huggingface.co/spaces/toshas… 📄 Paper: arxiv.org/abs/2312.02145 👾 Code: github.com/prs-eth/marigold The team: Bingxin Ke (@KBingxin), yours truly (@AntonObukhov1), Shengyu Huang (@ShengyHuang), Nando Metzger (@NandoMetzger), Rodrigo Caye Daudt (@rcdaudt), and Konrad Schindler. #ComputerVision #PRS #ETHZurich

rcdaudt.github.io/dada/ Guided depth super resolution #CVPR2023

Visit @rcdaudt and me at poster #168 at @CVPR!

Diffusion-Super-Resolution [CVPR 2023] Guided Depth Super-Resolution by Deep Anisotropic Diffusion github.com/prs-eth/Diffusion…

Excited to announce that our paper "Guided Depth Super-Resolution by Deep Anisotropic Diffusion" has been accepted at CVPR 2023!🎉 You can check out the ArXiv preprint and code repository to learn more about the research. #CVPR2023 #SuperResolution arxiv.org/abs/2211.11592

Deadline in a week! Consider submitting an abstract to our #EGU23 ML4Cryo session (CR2.5): meetingorganizer.copernicus.… #cryosphere #MachineLearning #DeepLearning #remotesensing #earthobservation #naturalhazards #ice #snow #Avalanche

Thanks for sharing! Big thanks to all of the involved people, especially @john_e_vargas @rcdaudt, Konrad Schindler, and @devistuia Link to our paper: nature.com/articles/s41598-0…