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  ## Contents
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  * **[matchnerf_3v.pth](https://huggingface.co/donydchen/matchnerf/resolve/main/matchnerf_3v.pth)**: Pre-trained weights for [MatchNeRF](https://github.com/donydchen/matchnerf) using DTU dataset, trained using 3 input views. Used for benchmarks testing.
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  * **[matchnerf_3v_ibr.pth](https://huggingface.co/donydchen/matchnerf/resolve/main/matchnerf_3v_ibr.pth)**: Pre-trained weights for [MatchNeRF](https://github.com/donydchen/matchnerf) using IBRNet datasets, trained using 3 input views. More suitable for in-the-wild scenes.
 
 
 
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  * **[nerf_synthetic.zip](https://huggingface.co/donydchen/matchnerf/resolve/main/nerf_synthetic.zip)**: Blender dataset, provided as a backup of the original available on [Google Drive](https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1).
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  * **[nerf_llff_data.zip](https://huggingface.co/donydchen/matchnerf/resolve/main/nerf_llff_data.zip)**: Real Forward Facing dataset, provided as a backup of the original available on [Google Drive](https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1).
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  * **[tnt_data.zip](https://huggingface.co/donydchen/matchnerf/resolve/main/tnt_data.zip)**: Tanks and Temples dataset, provided as a backup of the original available on [Google Drive](https://drive.google.com/drive/folders/15Q-N5SrD96i3YmQv0EgmzwJj80IBeYhQ).
 
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  ## Contents
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+ ### Pre-trained weights
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+ * **[gmflow_sintel-0c07dcb3.pth](https://huggingface.co/donydchen/matchnerf/resolve/main/gmflow_sintel-0c07dcb3.pth)**: Pre-trained weights for [GMFlow](https://github.com/haofeixu/gmflow), used to initialize our backbone when training.
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  * **[matchnerf_3v.pth](https://huggingface.co/donydchen/matchnerf/resolve/main/matchnerf_3v.pth)**: Pre-trained weights for [MatchNeRF](https://github.com/donydchen/matchnerf) using DTU dataset, trained using 3 input views. Used for benchmarks testing.
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  * **[matchnerf_3v_ibr.pth](https://huggingface.co/donydchen/matchnerf/resolve/main/matchnerf_3v_ibr.pth)**: Pre-trained weights for [MatchNeRF](https://github.com/donydchen/matchnerf) using IBRNet datasets, trained using 3 input views. More suitable for in-the-wild scenes.
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+ ### Datasets
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  * **[nerf_synthetic.zip](https://huggingface.co/donydchen/matchnerf/resolve/main/nerf_synthetic.zip)**: Blender dataset, provided as a backup of the original available on [Google Drive](https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1).
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  * **[nerf_llff_data.zip](https://huggingface.co/donydchen/matchnerf/resolve/main/nerf_llff_data.zip)**: Real Forward Facing dataset, provided as a backup of the original available on [Google Drive](https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1).
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  * **[tnt_data.zip](https://huggingface.co/donydchen/matchnerf/resolve/main/tnt_data.zip)**: Tanks and Temples dataset, provided as a backup of the original available on [Google Drive](https://drive.google.com/drive/folders/15Q-N5SrD96i3YmQv0EgmzwJj80IBeYhQ).