Matteo Bortolon
@mbortolon97
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PhD Student in Computer Vision, at TeV @FBK_research & @PAVIS_IIT
Joined January 2013
🚀 Introducing FreeGrasp: Free-form language-based robotic reasoning and grasping 🤖 🎥 Watch a UR5e robotic arm executing complex grasping tasks based on natural language commands! 🔗 Learn more: https://t.co/0q26CE6KuQ 🧵👇
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Paper and code already available, please check... Project page: https://t.co/F8nHsXcJDK arXiv: https://t.co/0rTKVGhkiB Kudos to the authors: @alessiodelbue @Poiex @sttujames @mbortolon97 and Theo! 2/2
arxiv.org
We propose 6DGS to estimate the camera pose of a target RGB image given a 3D Gaussian Splatting (3DGS) model representing the scene. 6DGS avoids the iterative process typical of...
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We present 6DGS, our new @eccvconf paper on camera pose estimation using an NVS model! 📸🔬Our approach proposes a novel "radiant Ellicell" for 3DGS to quickly compare the image with the model. Result? Faster, more accurate one-shot pose recovery. 🧵1/2
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Our new @ieee_ras_icra 2024 shows we can estimate the camera pose from a #NeRF model at 34fps from a single image 🚀🚀🚀 and without the need for a rotation and translation for initialization! 💡💡💡 🎬This short video shows how we did it... 🧵
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