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:show more

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:show more

light mode / dark mode gaussian splats care of... World Labsshow more

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:show more

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:show more

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 becomingshow more

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 👀show more

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 ↓show more

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/nshow more

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!show more

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)show more

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!show more

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

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

🔥 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".show more

🔥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 #madewithunityshow more

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 🙂show more

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 #AIshow more

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.show more

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. 👉show more

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:show more