CVPR2023
Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image
Yu Deng, Baoyuan Wang, Heung-Yeung Shum
Abstract
Figure 1. Novel view synthesis results by our method. It can generate novel views of a portrait image with high-fidelity and strong 3Dconsistency via single forward pass (e.g., see the bangs and wrinkles). Best viewed with zoom-in and see the video for animations.