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AI model reconstructs missing parts of leaf fossils

By PulseAugur Editorial · [1 sources] ·

Researchers have developed AmodalDINO, a novel multi-head dense-prediction model designed for the amodal reconstruction of leaf fossil images. This model can predict the visible leaf, the complete amodal leaf, the main vein, and fine veins from a single RGB image without requiring an upstream instance segmenter. By fine-tuning a DINOv3 ViT-L/16 model and adding auxiliary venation heads, AmodalDINO learns the structural shape prior of leaves, achieving high accuracy on synthetic and real fossil specimens. The model is also efficient, capable of running offline in a browser after quantization to 4-bit weights, and includes features for estimating surface area and visualizing living leaves. AI

IMPACT This research demonstrates a novel application of AI for paleontology, potentially improving the analysis of fossilized remains.

RANK_REASON The cluster contains an academic paper detailing a new AI model and its performance on a specific task. [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 →

AI model reconstructs missing parts of leaf fossils

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The cluster contains an academic paper detailing a new AI model and its performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Liuxiang Yue, Ailin Zhang, Ziyue Zhao, Yikun Duan ·

    Foreseeing the Invisible: Amodal Reconstruction of Leaf Fossil Images

    arXiv:2608.04423v1 Announce Type: new Abstract: Fossil leaves are rarely preserved whole -- sedimentary rock hides, breaks, and erodes the lamina, yet paleobotany depends on the complete shape and outline of the leaf. We cast the recovery of the missing tissue as amodal reconstru…

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