Researchers at the Max Planck Institute for Informatics and the University of Hong Kong have developed StyleNeRF, a 3D-aware generative model trained on unstructured 2D images that synthesizes high-resolution images with a high level of multi-view consistency. .
Compared to existing approaches, which either struggle to synthesize high-resolution images with fine details or produce 3D-inconsistent artifacts, StyleNeRF integrates its neural radiance field (NeRF) into a style-based generator. By employing this approach, StyleNeRF delivers improved render efficiency and better consistency with 3D generation.
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