Tag: #generative-model
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 2 posts
GAN Paper Deep Dive: How Generative Adversarial Networks Ushered in the Era of AI-Generated Content
From Ian Goodfellow's original GAN paper through DCGAN, WGAN, Progressive GAN, and StyleGAN -- we analyze the core theory of generative adversarial networks including the minimax game, Nash equilibrium, and training inst
2026-03-01 · 34 min read #gan#generative-model#adversarial-training#deep-learning#image-generationComplete Analysis of the DDPM Paper: The Mathematics and Principles of Diffusion Models that Create Images from Noise
An in-depth analysis of the DDPM paper by Ho et al. We derive the Forward/Reverse diffusion process, variational lower bound (ELBO), noise scheduling, and simplified training objective from formulas, and provide a compre
2026-03-01 · 31 min read #ddpm#diffusion-model#generative-model#score-matching#stable-diffusion