Nando Metzger

@nandometzger.bsky.social

PhD @ ETH Zurich | Computer Vision | Monocular Depth | 3D Stuff | Ex intern at Meta nandometzger.github.io

8th ZurichCV is on the 29th of April. We have two fantastic speakers: Linus Scheibenreif (ETH Zurich) will talk about self-supervised learning for satellite imagery, and Pascal Chang (Disney Research) will give us a preview of his soon-to-be-published work. RSVP: www.zurichai.ch/events/zuric...

ZurichCV #9 | ZurichAI

Linus Scheibenreif (ETH Zurich) will talk about self-supervised learning for satellite imagery, and Pascal Chang (ETH Zurich/Disney Research) will present his recent work (topic to be announced).

zurichai.ch

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.

The 4th Monocular Depth Estimation Challenge (MDEC) is coming to #CVPR2025, and I’m excited to join the org team! After 2024’s breakthroughs in monodepth driven by generative model advances in transformers and diffusion, this year's focus is on OOD generalization and evaluation.

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Monocular depth meets depth completion🚀 Check out our latest work where we modified Marigold to a zero-shot depth completion tool. Everything without retraining🌼 (This paper, for once, contains geese instead of cats😄 keep an eye open)

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Anton Obukhov@obukhov.ai · 2y ago

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 🧵

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 🧵

I mean I see the suitability of using gated RNNs for refinement (like in RAFT, IronDepth and recently MegaSaM). But it bugs my mind that we are using tools that were initially designed for time series. Aren't there any better design choices?