Papers › GIRAFFE HD: A High-Resolution 3D-aware Generative Model

GIRAFFE HD: A High-Resolution 3D-aware Generative Model

28 Mar 2022CVPR 2022 1arXiv:2203.14954archive 2025-07-28

Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee

3D-aware generative models have shown that the introduction of 3D information can lead to more controllable image generation. In particular, the current state-of-the-art model GIRAFFE can control each object's rotation, translation, scale, and scene camera pose without corresponding supervision. However, GIRAFFE only operates well when the image resolution is low. We propose GIRAFFE HD, a high-resolution 3D-aware generative model that inherits all of GIRAFFE's controllable features while generating high-quality, high-resolution images (512² resolution and above). The key idea is to leverage a style-based neural renderer, and to independently generate the foreground and background to force their disentanglement while imposing consistency constraints to stitch them together to composite a coherent final image. We demonstrate state-of-the-art 3D controllable high-resolution image generation on multiple natural image datasets.

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