The HiLo framework proposed for clothed human reconstruction can be extended to other 3D reconstruction tasks such as 3D face or indoor scene reconstruction by adapting the key components of the framework to suit the specific requirements of these tasks.
For 3D face reconstruction, the high-frequency information can be utilized to capture fine details such as facial features, while the low-frequency information can help in maintaining robustness against noise and inaccuracies in the input data. By incorporating progressive high-frequency functions and spatial interaction implicit functions tailored to facial geometry, the HiLo framework can be adapted to reconstruct detailed 3D faces from single images.
Similarly, for indoor scene reconstruction, the framework can leverage high-frequency information to capture intricate details of the scene geometry and low-frequency information to ensure robustness to noise and inaccuracies in the input data. By customizing the components of HiLo to handle the complexities of indoor scenes, such as varying lighting conditions and object interactions, it can facilitate accurate and detailed 3D reconstruction of indoor environments from single images.