29 articles
Series Google proved that generative AI can do virtual try-on. Could the same approach replace our entire GAN pipeline? This is the story of migrating from PASTA-GAN++ to Gemini and Vertex AI — simplifying a multi-stage GPU pipeline into a single API call.
Series Systematic testing of Gemini's image generation for virtual try-on across three phases: noisy inputs, clean images, and high-resolution action poses. The key finding: resolution matters more than any preprocessing pipeline.
Series A head-to-head comparison of three generations of virtual try-on technology across 12 test cases. The results reveal not just incremental improvement, but a generational leap — especially in body diversity, where GANs fundamentally failed.
Series How the game-core architecture separates framework-agnostic logic from rendering, why Phaser 3 handles the board while Next.js handles everything else, and the engineering decisions behind authentication, PWA support, and i18n.
Series How I built a Python data pipeline to transform 70 years of Japanese economic history into game-ready event data — scraping Wikipedia, modeling macro indicators, and simulating stock prices that feel authentic.
Series Japan mandated financial education in 2022, but most adults barely understand investing themselves. This is the story of how a decade-long quest to teach children about markets through a board game evolved from paper prototypes to a production browser game.
Series The origin story of META FIT: how a decades-old vision of seeing yourself in clothes before buying evolved from hardware kiosks to GAN-powered virtual try-on, plus a comprehensive survey of 15+ VTON research models.
Series A code-level walkthrough of the Parser-Free Appearance Flow Network: Feature Pyramid encoding, CUDA-accelerated correlation kernels, optical flow warping, and the ResUnet generator that composites garments onto people.
Series A deep dive into Generative Adversarial Networks: how the generator-discriminator dynamic works, why GANs dominated image generation before diffusion models, and how they power virtual try-on systems.