bamos/dcgan-completion.tensorflow

Health v2 · maintenance only

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1316 stars · 382 forks observed · 2026-08-28

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

A TensorFlow implementation of semantic image inpainting using DCGANs, based on the paper 'Semantic Image Inpainting with Perceptual and Contextual Losses'. It includes a pre-trained face completion model trained on CelebA.

Use cases

• fill in missing parts of face images with deep learning
• run semantic image inpainting with a DCGAN
• reproduce the perceptual and contextual loss inpainting paper
• complete partially occluded CelebA face images
• learn how GAN-based image completion works in TensorFlow

When to choose

• you want a reference implementation of DCGAN-based image inpainting for research or learning
• you need to complete face images using the included pre-trained CelebA model

When to avoid

• you need a maintained, production-ready inpainting tool for modern TensorFlow or PyTorch
• you need inpainting for general images rather than faces
• you require a permissive, clearly defined license

Facets

library · maturity abandoned

image-processing machine-learning deep-learning deep-learning computer-vision image-processing python dcgan inpainting tensorflow celeba research-code face-completion gpu

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markdown · JSON · MCP: product_card(name="bamos/dcgan-completion.tensorflow")