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Anton Obukhov

@AntonObukhov1 • 2,702 subscribers

Research Scientist in Computer Vision and Generative AI. Anon feedback: https://t.co/YRAxCex5yo Sponsor me: https://t.co/uusqHd6fIn

Shorts

Marigold V2 is out! (to appear at SIGGRAPH Asia 2026) If you missed V1: Marigold post-trains an image generator into a depth estimator on one GPU -- the accessible research game. V2 upgrades to a diffusion transformer: produces very sharp edges, and is quite versatile!

Marigold V2 is out! (to appear at SIGGRAPH Asia 2026) If you missed V1: Marigold post-trains an image generator into a depth estimator on one GPU -- the accessible research game. V2 upgrades to a diffusion transformer: produces very sharp edges, and is quite versatile!

1,915,175 görüntüleme

This is SIGGRAPH Preview: a 20s warmup where all 300 accepted papers get stage time on the first half of day one. In the last ICCV, this would have taken ~15 hours nonstop. CV conferences getting out of hand

This is SIGGRAPH Preview: a 20s warmup where all 300 accepted papers get stage time on the first half of day one. In the last ICCV, this would have taken ~15 hours nonstop. CV conferences getting out of hand

83,714 görüntüleme

Bonus: the same model does metric depth completion. Give it sparse lidar points, it fits a small LoRA at test time and fills in the rest, no retraining. This is similar to the Marigold-DC style guidance loop, but simpler. (Video from Marigold-DC)

Bonus: the same model does metric depth completion. Give it sparse lidar points, it fits a small LoRA at test time and fills in the rest, no retraining. This is similar to the Marigold-DC style guidance loop, but simpler. (Video from Marigold-DC)

12,256 görüntüleme

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 🧵

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 🧵

49,896 görüntüleme

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 🧵

39,363 görüntüleme

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 🧶👇

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 🧶👇

25,079 görüntüleme

Computational design and geometry track of SIGGRAPH Asia is CRAZY 🧵

Computational design and geometry track of SIGGRAPH Asia is CRAZY 🧵

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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: The team: Bingxin Ke (KeBingxin), yours truly (Anton Obukhov), Shengyu Huang (Shengyu Huang), Nando Metzger (Nando Metzger), Rodrigo Caye Daudt (Rodrigo Daudt), and Konrad Schindler. #ComputerVision #PRS #ETHZurich

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: The team: Bingxin Ke (KeBingxin), yours truly (Anton Obukhov), Shengyu Huang (Shengyu Huang), Nando Metzger (Nando Metzger), Rodrigo Caye Daudt (Rodrigo Daudt), and Konrad Schindler. #ComputerVision #PRS #ETHZurich

490,940 görüntüleme • 2 yıl önce

Pixel-Perfect-Depth: the paper aims to fix Marigold's loss of sharpness induced by VAE by using VFMs (VGGT/DAv2) and a DiT-based pixel decoder to refine the predictions and achieve clean depth discontinuities. Video by authors.

Pixel-Perfect-Depth: the paper aims to fix Marigold's loss of sharpness induced by VAE by using VFMs (VGGT/DAv2) and a DiT-based pixel decoder to refine the predictions and achieve clean depth discontinuities. Video by authors.

29,512 görüntüleme • 1 yıl önce

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