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license: mit
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---
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license: mit
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pretty_name: "ShapenetRender NeRFs"
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---
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Dataset introduced in the paper [Weight Space Representation Learning on Diverse NeRF Architectures](https://openreview.net/pdf?id=u90rHXaBve) (under review at ICLR 2026).
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To extract the dataset, run
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```sh
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tar -xvf shapenet_nerfs.tar
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```
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The NeRF weights contained in the dataset refer to the following implementations (follow [this README](https://github.com/CVLAB-Unibo/nf2vec/blob/main/README.md) to install the required libraries):
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* [MLP-based NeRF](https://github.com/frallebini/nerf-training/blob/42e1749f5743789003da53aa6f567562497baf39/radiance_fields/nerf_nerf2vec.py#L65)
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* [Tri-planar NeRF](https://github.com/frallebini/nerf-training/blob/42e1749f5743789003da53aa6f567562497baf39/radiance_fields/nerf_triplane.py#L20)
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* [Hash-based NeRF](https://github.com/frallebini/nerf-training/blob/42e1749f5743789003da53aa6f567562497baf39/radiance_fields/nerf_hash_single_mlp_separate_enc.py#L22)
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