
The author introduces G3DR, a novel 3D generative method in ImageNet, addressing limitations of existing methods by leveraging depth regularization and pre-trained language-vision models to improve visual realism and diversity. G3DR outperforms state-of-the-art methods by up to 22% in perceptual metrics and 90% in geometry scores.


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G3DR-Generative-3D-Reconstruction-in-ImageNet


G3DR: Generative 3D Reconstruction in ImageNet


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画像から多様で高品質な3Dオブジェクトを生成する新しい方法、Generative 3D Reconstruction（G3DR）を紹介します。


g3dr-generative-3d-reconstruction-in-imagenet


G3DR bietet effiziente 3D-Asset-Generierung mit hoher Qualität und Geometrie, übertrifft den Stand der Technik um bis zu 22% in Wahrnehmungsmetriken und 90% in Geometriewerten.
