Improving Digital Avatars With Incremental GAN Inversion
Researchers propose Incremental 3D GAN Inversion framework to improve digital avatar quality & realism by leveraging multiple input images & novel architectural components.
This is a Plain English Papers summary of a research paper called InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview Existing methods for creating digital avatars often have limitations such as shape distortion, expression inaccuracy, and identity flickering. Traditional one-shot inversion techniques fail to fully leverage multiple input images for detailed feature extraction. The proposed framework, Incremental 3D GAN Inversion, aims to enhanc...