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StyleGAN2 explained - AI generates faces, cars and cats! StyleGAN-2 improves upon the StyleGAN architecture to overcome the artifacts produced by StyleGAN. It also reports results on the LSUN Car and LSUN Cat datasets in addition to the FFHQ dataset. In this video lets look at the ideas, results and novelties of StyleGAN-2. Paper: https://arxiv.org/abs/1912.04958 Abstract: The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model architecture and training methods to address them. In particular, we redesign the generator normalization, revisit progressive growing, and regularize the generator to encourage good conditioning in the mapping from latent codes to images. In addition to improving image quality, this path length regularizer yields the additional benefit that the generator becomes significantly easier to invert. This makes it possible to reliably attribute a generated image to a particular network. We furthermore visualize how well the generator utilizes its output resolution, and identify a capacity problem, motivating us to train larger models for additional quality improvements. Overall, our improved model redefines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality. StyleGAN-2 Official Code: https://github.com/NVlabs/stylegan2 StyleGAN Official Code: https://github.com/NVlabs/stylegan YouTube: / aibites Twitter: / ai_bites Music: https://www.bensound.com 📚 📚 📚 BOOKS I HAVE READ, REFER AND RECOMMEND 📚 📚 📚 📖 Deep Learning by Ian Goodfellow - https://amzn.to/3Wnyixv 📙 Pattern Recognition and Machine Learning by Christopher M. Bishop - https://amzn.to/3ZVnQQA 📗 Machine Learning: A Probabilistic Perspective by Kevin Murphy - https://amzn.to/3kAqThb 📘 Multiple View Geometry in Computer Vision by R Hartley and A Zisserman - https://amzn.to/3XKVOWi #ai #deepface #gan #neuralnetworks #machinelearning