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Image-to-image translation with conditional adversarial nets

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

12 Weeks, 24 Lessons, AI for All!

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

real time face swap and one-click video deepfake with only a single image