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

RT @antoine_guedon: ⚠️Reconstructing sharp 3D meshes from a few unposed images is a hard and ambiguous problem. ☑️With MAtCha, we leverage….

RT @eric_brachmann: Not long until the 9th(!) Workshop on Recovering 6D Object Pose (R6D) at #ECCV2024, Sunday AM. Great speakers, and @va….

RT @tomhodan: 📈 BOP update: Deadline for the 2024 challenge is extended to November 29!. BOP'24 focuses on model-free and model-based 2D/6D….

RT @RomainLoiseau15: #CVPR2024 poster presentation starting now at poster 358 🌟

RT @RomainLoiseau15: Starting now at poster 233 🌟

RT @TweetEdMiller: Introducing, HOT3D. HOT3D is a new dataset from our team at Meta Reality Labs Research, to explore vision-based methods….

RT @tomhodan: We are releasing 🔥HOT3D🔥, a new egocentric dataset for 3D hand and object tracking. 833 minutes (3.7M images) of multi-view….

RT @ImagineEnpc: #CVPR2024 Thu 20 (AM).GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence.@vannguyen_ng @thibaul….

RT @ImagineEnpc: #CVPR2024 Thu 20 (PM).NOPE: Novel Object Pose Estimation from a Single Image.@vannguyen_ng @thibaultgroueix Georgy Ponimat….

RT @ImagineEnpc: #CVPR Fri 21 (AM).OpenStreetView-5M: The Many Roads to Global Visual Geolocation.@g_astruc @nico_dufour @YSiglidis @Elt_Vi….

RT @ma_sundermeyer: The new BOP challenge 2024 just opened! 🔊 This year we are also competing on end-to-end *model-free* 6D object pose est….

RT @eric_brachmann: BOP is back with #ECCV2024. The presentation of the #BOP2023 results is just around the corner (at the CV4MR workshop,….

Besides, we also introduce three new datasets which enable evaluation of the model-based, and model-free tasks (all these datasets include both CAD models and onboarding videos): HOT3D captured from Aria glasses and Quest 3 from #Meta, HOPEv2 and HANDAL from #NVIDIA

Dynamic onboarding: The object is manipulated by hands and the camera is either static (on a tripod) or dynamic (on a head-mounted device). Object masks for all video frames and the 6D object pose for the first frame are available.

We define two types of reference videos:. Static onboarding: The object is static and the camera is moving around capturing all possible object views. Two videos are available (one upright and one upside-down). Object masks and 6D object poses are available for all video frames.

This year, we aim to bridge this gap by introducing new model-free tasks where CAD models of test objects are not available and methods need to rapidly learn new objects just from reference videos in max 5 min on 1 GPU.

While the model-based tasks are relevant for warehouse or factory settings, where CAD models of the target objects are often available, its applicability is limited in open-world scenarios.

RT @captnloic: Can you guess where these photos were taken? @geoguessr players have taken this skill to the extreme, but how good can an AI….

RT @VincentLepetit2: We also show how to use our PyTorchGeoNodes module for reconstructing 3D objects from images in the form of interpreta….