May 23, 2022 · Experimental results and analysis demonstrate that the proposed anti-forensic method can achieve better visual quality and stronger deception ...

Experimental results and analysis demonstrate that the proposed anti-forensic method can achieve better visual quality and stronger deception ability compared ...

Experimental results and analysis demonstrate that the proposed anti-forensic method can achieve better visual quality and stronger deception ability compared ...

Bibliographic details on BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics.

BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics · A Local Perturbation Generation Method for GAN- ...

In this study, we propose a novel data-driven approach to counteract generative adversarial network (GAN)-based AF attacks.

BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics. Article. Oct 2022. Fei Peng · Liping Yin · Min Long.

This paper presents a method based on increasing the naturalness of CG facial images from the perspective of spoofing detectors using a convolutional neural ...

Subsequently, Peng et al. [24] introduced the BDC-GAN structure to achieve bidirectional transformation between natural images and computer-generated images.

BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics. IEEE Trans. Circuits Syst. Video Technol. 2022 ...