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Object detection on 3D Gaussian Splats. Accurate bounding boxes per detection, runs locally. Nigel Hartman ᯅ really cooked here SensAI Hackademy is hosting a lecture with Ian Curtis from World Labs on the 8th on this:

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Johannes Tscharn

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35,076 görüntüleme • 14 gün önce •via X (Twitter)

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This #CVPR2026 paper from our research team is trending #1 on Hugging Face 🤗 Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to act. Trained on 138M high-quality samples, LocateAnything decodes bounding boxes in parallel instead of one coordinate at a time, improving localization accuracy while dramatically increasing throughput for visual grounding and detection. Project page:
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This #CVPR2026 paper from our research team is trending #1 on Hugging Face 🤗 Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to act. Trained on 138M high-quality samples, LocateAnything decodes bounding boxes in parallel instead of one coordinate at a time, improving localization accuracy while dramatically increasing throughput for visual grounding and detection. Project page:

NVIDIA AI

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light mode / dark mode gaussian splats care of World Labs
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light mode / dark mode gaussian splats care of World Labs

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Today we release Boxer, a new lightweight approach that lifts open-world 2D bounding boxes to *metric* 3D: Here we show Boxer in action on an egocentric sequence captured from smart glasses:
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Today we release Boxer, a new lightweight approach that lifts open-world 2D bounding boxes to *metric* 3D: Here we show Boxer in action on an egocentric sequence captured from smart glasses:

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Train a TensorFlow object detection model – then deploy it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:
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Train a TensorFlow object detection model – then deploy it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:

PyCharm, a JetBrains IDE

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Gaussian splats don't simulate light. They capture it. I took one photograph of this room and generated it as a fully walkable 3D world in Mint. The volumetric rays, the shadow play on the rug, all preserved. This is what real-time 3D is becoming
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Gaussian splats don't simulate light. They capture it. I took one photograph of this room and generated it as a fully walkable 3D world in Mint. The volumetric rays, the shadow play on the rug, all preserved. This is what real-time 3D is becoming

mint

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Real-time DEtection Transformer (RT-DETR) landed in Hugging Face transformers 🤩 with Apache 2.0 license 😍 do DETRs Beat YOLOs on Real-time Object Detection? keep reading 👀
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Real-time DEtection Transformer (RT-DETR) landed in Hugging Face transformers 🤩 with Apache 2.0 license 😍 do DETRs Beat YOLOs on Real-time Object Detection? keep reading 👀

merve

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One of my favorite things about gaussian splats is how quickly a few images can become something you can explore. This environment was stitched together from three images using World Labs Breakdown below ↓
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One of my favorite things about gaussian splats is how quickly a few images can become something you can explore. This environment was stitched together from three images using World Labs Breakdown below ↓

Brittani Natali

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Introducing pixelSplat: feed-forward Gaussian splats from image pairs! Led by David Charatan and Lester Li, collaborating with Andrea Tagliasacchi @CVPR! We propose a memory-efficient, fast and editable alternative to pixelNeRF based on 3D Gaussian Splatting! 1/n
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Introducing pixelSplat: feed-forward Gaussian splats from image pairs! Led by David Charatan and Lester Li, collaborating with Andrea Tagliasacchi @CVPR! We propose a memory-efficient, fast and editable alternative to pixelNeRF based on 3D Gaussian Splatting! 1/n

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I made a 3D Gaussian Splatting renderer for WebGL! The following scene renders 1.3M splats in real time. I wanted to understand a bit more how gaussian splats were rasterized, reimplementing the original paper seemed to be the best approach. I will publish it on github soon!
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I made a 3D Gaussian Splatting renderer for WebGL! The following scene renders 1.3M splats in real time. I wanted to understand a bit more how gaussian splats were rasterized, reimplementing the original paper seemed to be the best approach. I will publish it on github soon!

kishimisu

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Oh wow! I just tested Splatt3R with my own data on my computer, which creates 3D Gaussian Splats at 4 FPS on uncalibrated 512x512 2D images! It's by far the fastest 3D reconstruction method, powered by MASt3R. Check out the video!
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Oh wow! I just tested Splatt3R with my own data on my computer, which creates 3D Gaussian Splats at 4 FPS on uncalibrated 512x512 2D images! It's by far the fastest 3D reconstruction method, powered by MASt3R. Check out the video!

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SOTA object detection with powerful visual reasoning: "skateboarder wearing checkered shirt".
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SOTA object detection with powerful visual reasoning: "skateboarder wearing checkered shirt".

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Visualizing my re-designed living room in 3D Nano banana -> World Labs -> WebAR (threejs) Each of these gaussian splats are only 1.5 mb in size (.spz file type)
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Visualizing my re-designed living room in 3D Nano banana -> World Labs -> WebAR (threejs) Each of these gaussian splats are only 1.5 mb in size (.spz file type)

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wow.. this new object detection AI tool is incredible and open sourced link in comment
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wow.. this new object detection AI tool is incredible and open sourced link in comment

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🔥 Minus about 100 million dollars from the enemy thanks to the detection and accurate hit by the Alpha crew of the CSD KOS unit on the enemy radar "Nebo-SVU".
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🔥 Minus about 100 million dollars from the enemy thanks to the detection and accurate hit by the Alpha crew of the CSD KOS unit on the enemy radar "Nebo-SVU".

MAKS 25 🇺🇦👀

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🔥Happy New Year all! 🧨 In 2026 Splats will be like pixels! Ultra dense 3D Gaussian Splatting VFX Backdrops! In 360° → 3DGS pipeline >8M splats per scene Zero compromises on detail! Every surface. Every edge. Every reflection. This is what photorealism should look like:-) #GaussianSplatting #unity3d #GameDev #VR #3DGS #Physics #madewithunity
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🔥Happy New Year all! 🧨 In 2026 Splats will be like pixels! Ultra dense 3D Gaussian Splatting VFX Backdrops! In 360° → 3DGS pipeline >8M splats per scene Zero compromises on detail! Every surface. Every edge. Every reflection. This is what photorealism should look like:-) #GaussianSplatting #unity3d #GameDev #VR #3DGS #Physics #madewithunity

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AR and Robotics is such an amazing combination The video doesn’t do it justice but interacting natively in 3D space is intuitive and feels natural This is SPECS for Devs driving a Reachy Mini from Hugging Face and Pollen Robotics Thanks again to SensAI Hackademy 🙂
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AR and Robotics is such an amazing combination The video doesn’t do it justice but interacting natively in 3D space is intuitive and feels natural This is SPECS for Devs driving a Reachy Mini from Hugging Face and Pollen Robotics Thanks again to SensAI Hackademy 🙂

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Pothole detection on the road in real time using Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AI

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Worth mentioning to all the people on me about the pupil detection. It's a bug in the Comfy implementation and will get sorted.... this is day 1 testing remember. Here is the same video ran on Wan's website - near perfect pupil tracking.
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Worth mentioning to all the people on me about the pupil detection. It's a bug in the Comfy implementation and will get sorted.... this is day 1 testing remember. Here is the same video ran on Wan's website - near perfect pupil tracking.

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Listen as Gen. Stephen Whiting, #USSPACECOM commander, breaks down how missile detection really works while on the sidelines of #SPC25, using "A House of Dynamite" to contrast Hollywood with USSPACECOM's real-world missile warning mission. 👉
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Listen as Gen. Stephen Whiting, #USSPACECOM commander, breaks down how missile detection really works while on the sidelines of #SPC25, using "A House of Dynamite" to contrast Hollywood with USSPACECOM's real-world missile warning mission. 👉

U.S. Space Command

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Are we done with object detection? What about tiny objects beyond 200 meters? 🔎 Telescope 🔭 addresses long-range perception by explicitly tackling extreme scale imbalance ⚖️ in images. It hinges on a learnable hyperbolic foveation transform from a low-resolution image, magnifying distant regions 🔍 while compressing nearby ones - effectively normalizing object scales with minimal computational overhead. Objects are detected in the transformed (Riemannian) space using a novel bounding box parameterization and are then mapped back to the original image. Project:
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Are we done with object detection? What about tiny objects beyond 200 meters? 🔎 Telescope 🔭 addresses long-range perception by explicitly tackling extreme scale imbalance ⚖️ in images. It hinges on a learnable hyperbolic foveation transform from a low-resolution image, magnifying distant regions 🔍 while compressing nearby ones - effectively normalizing object scales with minimal computational overhead. Objects are detected in the transformed (Riemannian) space using a novel bounding box parameterization and are then mapped back to the original image. Project:

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188,500 görüntüleme • 2 ay önce