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We also show how to use our PyTorchGeoNodes module for reconstructing 3D objects from images in the form of interpretable modelling programs. Work done with Sinisa Stekovic, Stefan Ainetter, Mattia D'Urso, Friedrich Fraundorfer vevenom.github.io/pytorchgeonode…

Can you guess where these photos were taken? GeoGuessr players have taken this skill to the extreme, but how good can an AI perform? Introducing OpenStreetView-5M 🌍, the first open-access and global-scale dataset of street view images. 🔗 Links and 🤖 demo below 👇 #CVPR2024

BOP is back with #ECCV2024. The presentation of the #BOP2023 results is just around the corner (at the CV4MR workshop, #CVPR2024), but we have no time to loose. Time for #BOP2024. Thought pose estimation of unseen objects w/ a 3D model was hard? Try it based on a dynamic video!

The new BOP challenge 2024 just opened! 🔊 This year we are also competing on end-to-end *model-free* 6D object pose estimation! 🌟 After 5min/1GPU with an onboarding video of the target object, estimate the pose of the object in cluttered scenes.

#CVPR2024 Thu 20 (PM) NOPE: Novel Object Pose Estimation from a Single Image vannguyen Thibault GROUEIX Georgy Ponimatkin,   Yinlin Hu,  Renaud Marlet,  Mathieu Salzmann VincentLepetit pdf: arxiv.org/pdf/2303.13612 web: nv-nguyen.github.io/nope/ code: github.com/nv-nguyen/nope

#CVPR2024 Thu 20 (AM) GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence vannguyen Thibault GROUEIX Mathieu Salzmann VincentLepetit pdf: arxiv.org/abs/2311.14155 webpage: nv-nguyen.github.io/gigaPose/ code: github.com/nv-nguyen/giga…

#CVPR Fri 21 (AM) OpenStreetView-5M: The Many Roads to Global Visual Geolocation Guillaume Astruc Nicolas DUFOUR Yannis Siglidis Elliot Vincent Romain Loiseau, PhD Stephanie Fu vannguyen @captnloic + others pdf: arxiv.org/abs/2404.18873 web: imagine.enpc.fr/~ioannis.sigli…

Introducing, HOT3D. HOT3D is a new dataset from our team at Meta Reality Labs Research, to explore vision-based methods for hand-object interaction. projectaria.com/datasets/hot3d/ 1/

We are releasing 🔥HOT3D🔥, a new egocentric dataset for 3D hand and object tracking. 833 minutes (3.7M images) of multi-view image streams showing 19 subjects interacting with 33 objects, annotated with high-quality 3D poses of hands and objects. Paper: arxiv.org/pdf/2406.09598

Starting now at poster 233 🌟

#CVPR2024 poster presentation starting now at poster 358 🌟

📈 BOP update: Deadline for the 2024 challenge is extended to November 29! BOP'24 focuses on model-free and model-based 2D/6D object detection, and introduces three new datasets from Meta and NVIDIA – HOT3D, HOPEv2, and HANDAL. bop.felk.cvut.cz/challenges/bop…

Not long until the 9th(!) Workshop on Recovering 6D Object Pose (R6D) at #ECCV2024, Sunday AM. Great speakers, and vannguyen, Tomáš Hodaň and Martin Sundermeyer will tell us about the #BOP Challenge 24 - the challenge is still running, but you get to see early bird results!

⚠️Reconstructing sharp 3D meshes from a few unposed images is a hard and ambiguous problem. ☑️With MAtCha, we leverage a pretrained depth model to recover sharp meshes from sparse views including both foreground and background, within mins!🧵 🌐Webpage: anttwo.github.io/matcha/