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BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects Bowen Wen, et al. tl;dr: object-level SLAM, online pose graph optimization + Neural Object Field #CVPR2023 arxiv.org/pdf/2303.14158…

👉#Nvidia unveils BundleSDF: the novel SOTA in real-time 6-DoF tracking of unknown objects, while simultaneously performing neural 3D reconstruction. Paper, Project & Code ✅6-DoF + 3D reconstruction of unknown objects ✅Cam. movement, objects manipulation & editing ✅Co-design

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions paper page: huggingface.co/papers/2308.01… present the HANDAL dataset for category-level object pose estimation and affordance prediction. Unlike previous datasets,

📣 Introducing FoundationPose, a unified foundation model for 6D object pose estimation and tracking for novel objects from #NVIDIAResearch. See the details below. 🧵 👇

📢 Our code has been released!! github.com/NVlabs/Foundat…

.NVIDIA has released the source code for their 2024 CVPR paper, "FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects." We're really excited to see what the #ROS community can make happen with this code. nvlabs.github.io/FoundationPose/

📢 Benchmark for 6D Object Pose Estimation 📢 BOP challenge 24 has been opened! bop.felk.cvut.cz/challenges/bop… Results to be presented at the R6D workshop at #ECCV2024 Details in comments below👇

The new BOP challenge 2024 pushes model-free and generalizable 6D object pose estimation. 🏆 Learn about the current state of 6D object pose estimation and the next challenges by visiting our poster at the mixed reality workshop (10:30-11:15) #CV4MR at #CVPR2024 📷

#CVPR2024: "NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows" Robots can navigate 3D worlds with NeRFs, but updating them after scene changes is computationally expensive (retraining the whole model!). Researchers from UIUC and #NVIDIAResearch introduce

Dense tracking of deformable objects can unlock applications in robotics, gen-AI and AR. We present DeformGS (previously MD-Splatting) and release the code and data.  Join us at #WAFR where we will present new real-world results! 👇deformgs.github.io 1/9🧵

How can robots learn household tasks from videos using just an iPhone, no robot hardware? Introducing SPOT, an object-centric framework that learns from minimal human demos, capturing the task-related constraints. (1/n)

Could #AI revolutionize stereo depth estimation? Utilizing a massive dataset of stereo pairs, FoundationStereo is designed as a foundation model with strong zero-shot generalization and automatic self-curation pipeline. Details from #NVIDIAResearch ➡️ nvlabs.github.io/FoundationSter…

📢Time to upgrade your depth camera! Introducing **FoundationStereo**, a foundation model for stereo depth estimation in zero-shot (accepted to CVPR 2025 with full scores) [1/n] Code: github.com/NVlabs/Foundat… Website: nvlabs.github.io/FoundationSter… Paper: arxiv.org/abs/2501.09898

Imagine if robots could fill in the blanks in cluttered scenes. ✨ Enter RaySt3R: a single masked RGB-D image in, complete 3D out. It infers depth, object masks, and confidence for novel views, and merges the predictions into a single point cloud. rayst3r.github.io

🚗 NVIDIA Research named Autonomous Grand Challenge winner for End-to-End Autonomous Driving at #CVPR2025 in Nashville. Theme of challenge: Towards Generalizable Embodied Systems. Learn more about NVIDIA Research at CVPR: nvda.ws/45MH4NB

Come and say 👋 tomorrow (06/13) for our oral (1pm, Karl Dean Ballroom) and poster sessions (4pm, ExHall D, #81)! #CVPR2025 #CVPR2025 CVPR News NVIDIA AI Developer NVIDIA Robotics #NVIDIA