PixelPerfectAI: Image Enhancement Deep Learning SaaS App using ESRGAN + GFPGAN + Colorization |

Welcome to the demo of PixelPerfectAI, a unified Deep Learning SaaS platform designed to solve the complexities of modern image restoration.

While most tools focus on a single task, PixelPerfectAI provides a one-stop solution for upscaling, denoising, face restoration, and colorization.

[The Problem] Traditional models are often specialized, requiring users to manually chain multiple tools together to fix one image.

PixelPerfectAI eliminates this friction with a powerful, automated hybrid pipeline.

[What’s Inside?]

In this demo, we walk through:

The Hybrid ML Pipeline: Watch how we sequentially apply Real-ESRGAN for denoising, GFPGAN for high-fidelity face restoration, and ECCV16 for vibrant colorization.

Full-Stack Architecture: A quick look at our production-ready stack: React 18 and TypeScript on the frontend, with an Express.js and Google Cloud backend.

Live Demo: A real-time walkthrough of our intuitive dashboard, featuring credit-based processing and history tracking.

[Key Tech Highlights]

Loss Functions: Optimized using a Compound Loss strategy (L1 + Perceptual Loss) to ensure both pixel accuracy and visual realism.

Optimization: Partial layer freezing and model quantization for faster inference times.

Scalability: Built on PostgreSQL (Neon DB) with Drizzle ORM for reliable data management.

Keywords
Image Restoration, Super Resolution, Deep Learning Project, GANs, ESRGAN, GFPGAN, TSD-SR, Machine Learning SaaS, Computer Vision, AI Demo, Python, PyTorch, React, Google Cloud, Image Enhancement.


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