no code implementations • 30 Nov 2023 • Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf
As pretrained text-to-image diffusion models become increasingly powerful, recent efforts have been made to distill knowledge from these text-to-image pretrained models for optimizing a text-guided 3D model.
no code implementations • 4 Oct 2021 • Gege Gao, Huaibo Huang, Chaoyou Fu, Ran He
Human face synthesis involves transferring knowledge about the identity and identity-dependent face shape (IDFS) of a human face to target face images where the context (e. g., facial expressions, head poses, and other background factors) may change dramatically.
1 code implementation • CVPR 2021 • Gege Gao, Huaibo Huang, Chaoyou Fu, Zhaoyang Li, Ran He
In this work, we propose a novel information disentangling and swapping network, called InfoSwap, to extract the most expressive information for identity representation from a pre-trained face recognition model.