研究人员开发了PRIMA，一个旨在提高3D动物网格恢复准确性的新框架。PRIMA整合了来自BioCLIP嵌入的生物先验以增强形状预测，并采用测试时自适应策略利用2D约束来优化预测。该方法还有助于创建一个大规模的伪3D数据集Quadruped3D，帮助模型更好地泛化到不同的物种和姿势，从而取得最先进的成果。 AI
影响 增强了动物形态的3D重建能力，可能改进生物学和计算机图形学领域的应用。
排序理由 该集群包含一篇研究论文，详细介绍了一个用于特定计算机视觉任务的新框架和数据集。
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arXiv:2606.02366v1 Announce Type: new Abstract: We present PRIMA (*PRI*ors for *M*esh *A*daptation), a framework for robust 3D quadruped mesh recovery under severe species and pose imbalance. Existing animal reconstruction methods often regress toward mean shapes and poses due to…
We present PRIMA (*PRI*ors for *M*esh *A*daptation), a framework for robust 3D quadruped mesh recovery under severe species and pose imbalance. Existing animal reconstruction methods often regress toward mean shapes and poses due to limited 3D supervision and long-tailed species …