4 articles tagged with "Gemini"
Series When I let OpenClaw's default setup (Gemini 3 Flash) write the Python rule-check code, the AI ended up hardcoding the expected answers after 25 rewrites. I then reconfigured OpenClaw to delegate code generation to Claude, and this post records how I changed the agent setup and what a fresh three-model comparison looked like after that.
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 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 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.