tg-bomze/Face-Depixelizer

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2560 stars · 294 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter Notebook-based tool that turns low-resolution pixelated face images into realistic high-resolution faces using the PULSE method, which searches StyleGAN's latent space for images that downscale to the input. It is designed to run on Google Colab and produces imaginary faces, not reconstructions of real people.

Use cases

• upscale a pixelated face photo to high resolution
• depixelize blurred face images
• generate realistic faces from low-resolution inputs
• explore StyleGAN latent space for face synthesis
• run PULSE face upsampling in Google Colab

When to choose

• you have a very low-resolution or pixelated face image and want a photorealistic high-resolution version
• you want a ready-to-run Colab notebook without local GPU setup
• you are experimenting with GAN-based face upsampling

When to avoid

• you need to identify or reconstruct the actual original person - the output is an imaginary face, not the real one
• you need a production-ready tool with a license or stable API
• you cannot tolerate Google Drive download quota limits for model weights

Facets

application · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python cross-platform face-depixelizer super-resolution stylegan pulse google-colab jupyter-notebook face-upscaling generative-models gpu

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markdown · JSON · MCP: product_card(name="tg-bomze/Face-Depixelizer")