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Left: raw depth from the OAK-D Pro W camera Right: depth from FoundationStereo

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Yu Xiang

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32,598 просмотров • 4 месяцев назад •via X (Twitter)

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Raised from the depth WIP
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Let me share how the maps look like. Normal was estimated from the source image with StableNormal ( and Refined Depth came from promptDA ( + Lidar Depth. If you pause the video, you will see the differences in depths.
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Let me share how the maps look like. Normal was estimated from the source image with StableNormal ( and Refined Depth came from promptDA ( + Lidar Depth. If you pause the video, you will see the differences in depths.

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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.
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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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Xavier Watts single high, diagnoses the reverse, and closes. Made plays like this from depth all night
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I'll always root for a team that open-sources its best work, and Robbyant just did it properly. Robbyant, Ant Group's embodied-AI company, released LingBot-Vision, a vision foundation model for robots, and the part I love is the data. They trained it on 161M images, filtered down from 2B raw ones and mostly pulled straight from the open web, with no human labels, no edge detectors, no depth sensors anywhere in the loop. It learns the exact edges of objects from raw pixels. That's roughly a tenth of the data DINOv3 saw, and under a third of the training. And it shows in the results. On depth, working out how far away things are, the 1B model edges out a 7B on NYU-Depth. It also powers LingBot-Depth 2.0, which reads the surfaces cameras usually choke on, glass and mirrors, and halves indoor depth error. LingBot-Vision is fully open. Weights from the 1.1B flagship down to a tiny 21M version, code, and the paper. This is the timeline I want more of. Robbyant
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Quick look at Nathan Anderson (‘24, IL) has come out working the mid-80s on the FB from the left side & higher slot. Mid-70s SL in the mix as well. Showed a CH in the mix as well w/good depth to it. Perfect Game Illinois PG_Uncommitted #WWBAWorlds
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‘26 Braydon McKendrick (IL) Logan Vols Baseball recruit FB: 85-88 CB: 75-78 (2400+ depth) CH: 81-83 (1400s) Uptempo, aggressive look from the 5’11” 190-pounder who challenged hitters right from the jump. Feel for 3 from higher 3/4 slot. Prep Baseball Illinois
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whaaaaaat when did Unreal Engine start letting us export raw depth data like this??
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whaaaaaat when did Unreal Engine start letting us export raw depth data like this??

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I found a new source of joy. This new depth lock screen app comes from AppsLab
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