Introducing StereoSpace -- our new end-to-end method for turning photos into stereo images without explicit geometry or depth maps. This makes it especially robust with thin structures and transparencies. Try the demo below
Anton Obukhov
@obukhov.ai
Research Scientist in Computer Vision and Generative AI
Introducing WindowSeat - our new method for removing reflections from photos taken through windows, on planes, in malls, offices, and other glass-filled environments. Try it with your own photos in this demo: huggingface.co/spaces/tosha...
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 🧶👇
🍸🍸The TRICKY25 challenge: "Monocular Depth from Images of Specular and Transparent Surfaces" is live! 🍸🍸 Hosted at the 3rd TRICKY workshop #ICCV2025, with exciting speakers! @obukhov.ai @taiyasaki.bsky.social Site: sites.google.com/view/iccv25t... Codalab: codalab.lisn.upsaclay.fr/competitions...
Huawei Research Center Zürich is looking for a Research Scientist intern to work with me on advancing foundation models for computer vision, focusing on enhancing computational photography features in mobile phones. ˙✧˖°📸⋆｡˚ careers.huaweirc.ch/jobs/5702605...
Research Intern - Foundation Models for Computer Vision - Huawei Research Center Zürich
If you are enthusiastic in shaping Huawei’s European Research Institute together with a multicultural team of leading researchers, this is the right opportunity for you!
careers.huaweirc.ch
Look at them stripes! A principled super-resolution drop by colleagues from PRS-ETH! Interactive demo with gradio-dualvision down in the post
Nando Metzger@nandometzger.bsky.social · last yr.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.
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!
Update about the 4th Monocular Depth Estimation Workshop at #CVPR2025: 🎉 Website is LIVE: jspenmar.github.io/MDEC/ 🎉 Keynotes: Peter Wonka, Yiyi Liao, and Konrad Schindler 🎉 Challenge updates: new prediction types, baselines & metrics
What's the next frontier after LLMs, that will demand nuclear-powered GPU clusters? No agents or AGI please
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.
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)
Anton Obukhov@obukhov.ai · 2y agoIntroducing ⇆ 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 🧵
The most recent fads are "the mind is a like a computer" and now "the mind is like an LLM." 🤷♂️
Introducing 👀Stereo4D👀 A method for mining 4D from internet stereo videos. It enables large-scale, high-quality, dynamic, *metric* 3D reconstructions, with camera poses and long-term 3D motion trajectories. We used Stereo4D to make a dataset of over 100k real-world 4D scenes.
3D illusions are fascinating! 🤩 But it takes exceptional artistic skills to make one. We present Illusion3D - a simple method for creating 3D multiview illusions, where the interpretations change depending on your perspectives. Let's play Where's Waldo, shall we? 😆
Interesting! Switzerland continues to build its own Silicon Valley www.wired.com/story/openai...
OpenAI Poaches 3 Top Engineers From DeepMind
The new hires, all experts in computer vision, are the latest AI researchers to jump to a direct competitor in an intensively competitive talent market.
wired.com
Introducing 🛹 RollingDepth 🛹 — a universal monocular depth estimator for arbitrarily long videos! Our paper, “Video Depth without Video Models,” delivers exactly that, setting new standards in temporal consistency. Check out more details in the thread 🧵
The iPhone LiDAR depth is pretty stable but low-res and low detail. Monodepth is highly detailed but unstable ("depth flickering"). For more stable and detailed metric depth, I solve for the per-frame affine transform that optimally "anchors" the monodepth to the LiDAR. youtube.com/shorts/u3OVj...
Anchoring monodepth to LiDAR depth | Pedestrian walk
YouTube video by Chris Offner
youtube.com
Good morning! Time to have a coffee ☕️ and update all the AI starter packs 🥹
