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yinanhe / ForgeryNet

[CVPR 2021 Oral] ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
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Questions about the approaches in the datasets. #22

Closed damengdameng closed 2 years ago

damengdameng commented 2 years ago

Hi,i have to say you did a excellent and meaningful work at first! I am really appreciate for your contribution. There are some questions about the dataset that confused me these days and I really wish to get your help~

  1. Since the authors of face shifter/Talking-head Video did not open the source code, how did you use these approaches to generate samples? Did you implement the project by yourself?
  2. About the face editing methods you used in the dataset, the open source code of DiscoFaceGAN seems to generate the result images only from the latent features but not from the real image. I wonder did you implement the real-image based DiscoFaceGAN to edit the original images in the dataset or you just generate the random identity and do face swap(align - color match - blending) between this and original images?

Waiting for you reply! Have a nice day~

yinanhe commented 2 years ago
  1. Yes, we implement by ourselves.
  2. We generate the random identity and do face swap between this and original images.