Uploaded December 2019 | Updated September 2026, 3 weeks ago
This video explores changes to the StyleGAN architecture to remove certain artifacts, increase training speed, and achieve a much smoother latent space interpolation! This paper also presents an interesting Deepfake detection algorithm enabled by their improvements to latent space interpolation.
Robert Luxemburg's StyleGAN2 Interpolation Loop: youtube.com/watch?v=6E1_dgYlifc&feature=youtu.be
Paper Link: arxiv.org/pdf/1912.04958.pdf
Tero Karras StyleGAN Video: youtube.com/watch?v=c-NJtV9Jvp0&feature=youtu.be
NVIDIA StyleGAN Repository: github.com/NVlabs/stylegan2
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This video explores changes to the StyleGAN architecture to remove certain artifacts, increase training speed, and achieve a much smoother latent space interpolation! This paper also presents an interesting Deepfake detection algorithm enabled by their improvements to latent space interpolation.
Robert Luxemburg's StyleGAN2 Interpolation Loop: youtube.com/watch?v=6E1_dgYlifc&feature=youtu.be
Paper Link: arxiv.org/pdf/1912.04958.pdf
Tero Karras StyleGAN Video: youtube.com/watch?v=c-NJtV9Jvp0&feature=youtu.be
NVIDIA StyleGAN Repository: github.com/NVlabs/stylegan2
Thanks for watching! Please subscribe!










