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Adobe unveils HUMOTO, a high-quality #dataset of human-object interactions designed for #motiongeneration, #computervision, and #robotics. It features over 700 sequences (7,875 seconds @ 30FPS) with interactions involving 63 precisely modeled objects and 72 articulated parts—a rich resource for researchers and developers in the field.
#HUMOTO #4DMocap #HumanObjectInteraction #AdobeResearch #AI #MachineLearning #PoseEstimation
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✨ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactions
📝 Summary:
ArtHOI presents an optimization-based framework that integrates foundation model priors to reconstruct 4D human-articulated-object interactions from single monocular RGB videos using adaptive sampling...
🔹 Publication Date: Published on Mar 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25791
• PDF: https://arxiv.org/pdf/2603.25791
• Project Page: https://arthoi-reconstruction.github.io/
• Github: https://github.com/hitcs-zikaiwang/ArtHOI-4D-Reconstruction
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#4DReconstruction #FoundationModels #ComputerVision #HumanObjectInteraction #AI
📝 Summary:
ArtHOI presents an optimization-based framework that integrates foundation model priors to reconstruct 4D human-articulated-object interactions from single monocular RGB videos using adaptive sampling...
🔹 Publication Date: Published on Mar 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25791
• PDF: https://arxiv.org/pdf/2603.25791
• Project Page: https://arthoi-reconstruction.github.io/
• Github: https://github.com/hitcs-zikaiwang/ArtHOI-4D-Reconstruction
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#4DReconstruction #FoundationModels #ComputerVision #HumanObjectInteraction #AI