| license: mit | |
| library_name: onnx | |
| pipeline_tag: image-to-image | |
| tags: | |
| - onnx | |
| - image-inpainting | |
| - object-removal | |
| - onnxruntime-web | |
| # MI-GAN (ONNX pipeline) | |
| MI-GAN, a fast GAN for image inpainting, as an ONNX pipeline export that crops round the hole, fills at 512 × 512 and pastes the result back at any size. [Card Anvil](https://github.com/Card-Anvil) uses it in the browser to remove watermarks from card art. | |
| This is an unchanged copy of one file from [`andraniksargsyan/migan`](https://huggingface.co/andraniksargsyan/migan) at commit [`406830d`](https://huggingface.co/andraniksargsyan/migan/tree/406830d0fa60666da0071c342ad2fbc8f30c5c64), kept here so the app loads a file that can't change under it. | |
| | File | Source path | | |
| | --- | --- | | |
| | `migan_pipeline_v2.onnx` | `migan_pipeline_v2.onnx` | | |
| ## Credits and licence | |
| - Model: [MI-GAN](https://github.com/Picsart-AI-Research/MI-GAN) by Picsart AI Research (PAIR), from *MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices* (ICCV 2023). | |
| - ONNX export: [`andraniksargsyan/migan`](https://huggingface.co/andraniksargsyan/migan). | |
| Licensed under the MIT License, as the source is. See [`LICENSE`](LICENSE). | |