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New framework reconstructs 3D animals from single images

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced SAM 3D Animal, a novel framework for reconstructing 3D animal models from single images, even in complex multi-animal scenarios. This system leverages the SMAL+ parametric model and accepts flexible prompts like keypoints and masks to improve accuracy in occluded or crowded scenes. To support this, they also created Herd3D, a new dataset featuring over 5,000 images of multiple animals, designed to enhance diversity in species and interactions. AI

IMPACT Enables more detailed 3D modeling of animals in complex, real-world scenes, potentially aiding fields like animation and ecological monitoring.

RANK_REASON The cluster contains an academic paper detailing a new method and dataset for 3D animal reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework reconstructs 3D animals from single images

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The cluster contains an academic paper detailing a new method and dataset for 3D animal reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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153 days old
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Stefan Goetz ·

    SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild

    3D animal reconstruction in the wild remains challenging due to large species variation, frequent occlusions, and the prevalence of multi-animal scenes, while existing methods predominantly focus on single-animal settings. We present SAM 3D Animal, the first promptable framework …

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