Uploaded June 2021 | Updated September 2026, 1 week ago

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In this video I cover the "GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation" paper.

They managed to increase the diversity and stability of anime avatar generation and as a side benefit - they can also apply it to videos without any additional temporal constraints!

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✅ Paper: arxiv.org/abs/2106.06561
✅ GitHub: github.com/mchong6/GANsNRoses
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⌚️ Timetable:
00:00 High-level overview of the paper
04:00 Diving deeper
05:00 GNR architecture and loss overview
09:50 Loss components
13:10 Diversity discriminator in more detail
16:25 Baseline comparisons
17:50 Ablations
18:40 Quantitative results (FID, DFID, LPIPS)
19:50 Controllability

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Huge thank you to these AI Epiphany patreons:
Eli Mahler
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💡 The AI Epiphany is a channel dedicated to simplifying the field of AI using creative visualizations and in general, a stronger focus on geometrical and visual intuition, rather than the algebraic and numerical "intuition".

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#gansandroses #anime #generativemodeling