JiahuiYu/generative_inpainting

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3466 stars · 798 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source implementation of DeepFill v1/v2 generative image inpainting models, featuring Contextual Attention (CVPR 2018) and Gated Convolution (ICCV 2019 Oral). It provides training and testing scripts for filling in missing or masked regions of images with realistic generated content.

Use cases

• remove objects from photos by filling in the hole
• fill in missing or masked regions of an image
• free-form image inpainting with deep learning
• reproduce DeepFill v2 gated convolution inpainting results
• train an inpainting model on my own image dataset
• restore old damaged photos automatically

When to choose

• you need state-of-the-art free-form image inpainting based on published research
• you want to train or fine-tune an inpainting model on your own dataset
• you are researching attention-based or gated convolution inpainting architectures

When to avoid

• you need a production-ready, actively maintained tool - the code targets old TensorFlow 1.x releases
• you need a permissively licensed solution - the CC BY-NC license forbids commercial use
• you want a simple GUI or one-click photo editor rather than a research codebase

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python image-inpainting deepfill gated-convolution contextual-attention generative-adversarial-network tensorflow research-code non-commercial-license linux gpu

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