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AnyDepth: Lightweight zero-shot monocular depth estimation; surpasses DPT; - nicely preserves detail.

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Wildminder

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18,636 görüntüleme • 9 ay önce •via X (Twitter)

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Introducing Depth Estimation with NVIDIA’s FoundationStereo—a new open tutorial and codebase for metric depth sensing using Project Aria Gen 2 devices. ⚡️ Real-time ready (20 FPS) 🤖 Zero-shot generalization ⚡️Stereo image rectification and disparity estimation 🔓 Open Source Check out the code and tutorial: 🔌Chris Sweeney
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Introducing Depth Estimation with NVIDIA’s FoundationStereo—a new open tutorial and codebase for metric depth sensing using Project Aria Gen 2 devices. ⚡️ Real-time ready (20 FPS) 🤖 Zero-shot generalization ⚡️Stereo image rectification and disparity estimation 🔓 Open Source Check out the code and tutorial: 🔌Chris Sweeney

Project Aria @Meta

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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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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 🧵

Anton Obukhov

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Gave a robot 3D vision with just a regular camera👁️ Full Tutorial: Deployed #Depth Anything V3​ on NVIDIA Robotics Jetson AGX Orin. It estimates depth from 2D images in real-time—no special sensors needed. Just need #Monocular depth estimation + #TensorRT​ optimization + #ROS2​ integration. 👉 Learn more about reComputer Robotics J5011: #TheAIHardwarePartner
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Gave a robot 3D vision with just a regular camera👁️ Full Tutorial: Deployed #Depth Anything V3​ on NVIDIA Robotics Jetson AGX Orin. It estimates depth from 2D images in real-time—no special sensors needed. Just need #Monocular depth estimation + #TensorRT​ optimization + #ROS2​ integration. 👉 Learn more about reComputer Robotics J5011: #TheAIHardwarePartner

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Discover the right 3D Geometric Foundation Model for your task—whether it’s stereo matching, multi-view depth estimation, video depth, pose estimation, semantic understanding, or novel view synthesis. Explore more insights in our #E3DBench #FoundationModel #3D #GaussianSplatting. Project Webpage:
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Discover the right 3D Geometric Foundation Model for your task—whether it’s stereo matching, multi-view depth estimation, video depth, pose estimation, semantic understanding, or novel view synthesis. Explore more insights in our #E3DBench #FoundationModel #3D #GaussianSplatting. Project Webpage:

Zhiwen(Aaron) Fan

30,181 görüntüleme • 1 yıl önce

Doesn't look like the super low-res depth maps from the iPhone Pro's LiDAR sensor would be too useful as supervision (or sanity check) for recent monocular depth estimators.
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Doesn't look like the super low-res depth maps from the iPhone Pro's LiDAR sensor would be too useful as supervision (or sanity check) for recent monocular depth estimators.

Chris Offner

66,094 görüntüleme • 2 yıl önce

🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇
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🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇

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Eye Detail – enhancing eye contour - adding depth
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Eye Detail – enhancing eye contour - adding depth

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Google just revealed an ABSOLUTE depth estimation model 🤯 As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️
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Google just revealed an ABSOLUTE depth estimation model 🤯 As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️

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Phantom Blade Zero even surpasses Black Myth: Wukong with incredible combat and boss fights
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One more turn with this #AR: added underwater transition. All real-time, based on #ML scene depth estimation. Built in Effect House.
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One more turn with this #AR: added underwater transition. All real-time, based on #ML scene depth estimation. Built in Effect House.

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Face angles rigged with a depth map! It's so lightweight, AE isn't even lagging 😭🥀 #aftereffects
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Face angles rigged with a depth map! It's so lightweight, AE isn't even lagging 😭🥀 #aftereffects

Ezboy | VGen Open in 2027

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Well... I hope his shot turned out nicely 😅
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Well... I hope his shot turned out nicely 😅

Bryce Adams 💋

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"SAM2Matting: Generalized Image and Video Matting" TL;DR: upgrades foundation video trackers like SAM2 into state-of-the-art image and video matting models by decoupling temporal tracking from fine-grained alpha estimation achieving zero-shot video matting without video training
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"SAM2Matting: Generalized Image and Video Matting" TL;DR: upgrades foundation video trackers like SAM2 into state-of-the-art image and video matting models by decoupling temporal tracking from fine-grained alpha estimation achieving zero-shot video matting without video training

Alexandre Morgand

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New drop: Options Market Depth V2 🔥 • Bookmap-style depth + trade flow • Stack charts horizontally, vertically, or grid. • Built on TradingView lightweight-charts Open source & free → code in next post. #Schwab
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New drop: Options Market Depth V2 🔥 • Bookmap-style depth + trade flow • Stack charts horizontally, vertically, or grid. • Built on TradingView lightweight-charts Open source & free → code in next post. #Schwab

Nick

11,571 görüntüleme • 1 yıl önce

Revisiting this game a few months later: (i) It's pretty impressive that general-purpose image generators can estimate meaningful depth from a single photo. (ii) Monocular depth remains pretty awful for 3D reconstruction! Here Gemini > GPT > Qwen. (At least I hope so!…🫣)
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Revisiting this game a few months later: (i) It's pretty impressive that general-purpose image generators can estimate meaningful depth from a single photo. (ii) Monocular depth remains pretty awful for 3D reconstruction! Here Gemini > GPT > Qwen. (At least I hope so!…🫣)

Keenan Crane

34,217 görüntüleme • 6 ay önce

This is detail nuance with Ray3. Fine textures, intricate patterns, and subtle features hold together in motion. Micro actions, granular attributes and precise shifts animate naturally flow. High fidelity preserves across every frame, ensuring clarity in every small detail.
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This is detail nuance with Ray3. Fine textures, intricate patterns, and subtle features hold together in motion. Micro actions, granular attributes and precise shifts animate naturally flow. High fidelity preserves across every frame, ensuring clarity in every small detail.

Luma

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I added a node to my custom node that converts the depth image to a normal map! This is useful for 2D-style images where Normals Estimation doesn't work well.
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I added a node to my custom node that converts the depth image to a normal map! This is useful for 2D-style images where Normals Estimation doesn't work well.

toyxyz

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Crisp!🎙️ Mic Air catches every detail (shot by wasaijiuduile)
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Crisp!🎙️ Mic Air catches every detail (shot by wasaijiuduile)

Insta360

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