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FaceStudio: Put Your Face Everywhere in Seconds: Training

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Authors:

(1) Yuxuan Yan,Tencent with Equal contributions and [email protected];

(2) Chi Zhang, Tencent with Equal contributions and Corresponding Author, [email protected];

(3) Rui Wang, Tencent and [email protected];

(4) Yichao Zhou, Tencent and [email protected];

(5) Gege Zhang, Tencent and [email protected];

(6) Pei Cheng, Tencent and [email protected];

(7) Bin Fu, Tencent and [email protected];

(8) Gang Yu, Tencentm and [email protected].

Table of Links

Abstract and 1 Introduction

2. Related Work

3. Method and 3.1. Hybrid Guidance Strategy

3.2. Handling Multiple Identities

3.3. Training

4. Experiments

4.1. Implementation details.

4.2. Results

5. Conclusion and References

3.3. Training

Figure 4. Influence of identity input on image construction. The addition of identity input proves to be effective in preserving the subject’s identity within the generated image.

Figure 5. Identity-preserving novel view synthesis experiment. Our method excels at generating new views of a subject while maintaining its identity.


This paper is available on arxiv under CC0 1.0 DEED license.