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FaceStudio: Put Your Face Everywhere in Seconds: Training

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Transforming concentrations, unlocking new potential through careful calibration for a balanced and harmonious outcome.

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Academic Research Paper

Academic Research Paper

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

Authors:

(1) Yuxuan Yan,Tencent with Equal contributions and yuxuanyan@tencent.com;

(2) Chi Zhang, Tencent with Equal contributions and Corresponding Author, johnczhang@tencent.com;

(3) Rui Wang, Tencent and raywwang@tencent.com;

(4) Yichao Zhou, Tencent and yichaozhou@tencent.com;

(5) Gege Zhang, Tencent and gretazhang@tencent.com;

(6) Pei Cheng, Tencent and peicheng@tencent.com;

(7) Bin Fu, Tencent and brianfu@tencent.com;

(8) Gang Yu, Tencentm and skicyyu@tencent.com.

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

image

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 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.

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

image


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


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Transforming concentrations, unlocking new potential through careful calibration for a balanced and harmonious outcome.

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