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EPFL-IVRL
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ShapeNetSDF

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signed-distance-field

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@@ -1,4 +1,5 @@
 ---
 license: other
 license_name: shapenet-license
 license_link: https://shapenet.org/terms
@@ -432,7 +433,7 @@ Signed Distance Field (SDF) point samples derived from
 [ShapeNet Core](#), for training and evaluating implicit
 neural representations / neural fields on 3D shapes.
-This dataset is shared as part of the CVPR 2026 paper [Weight Space Representation Learning via Neural Field Adaptaion](https://arxiv.org/abs/2512.01759) produced by `process_shapenet_to_sdf.py` from the.
 Code for producing this dataset is shared in the [wsr.pytorch](https://github.com/IVRL/wsr.pytorch) neural-field codebase.
 Each shape is converted into a watertight manifold, normalized into the unit

 ---
+viewer: false
 license: other
 license_name: shapenet-license
 license_link: https://shapenet.org/terms
 [ShapeNet Core](#), for training and evaluating implicit
 neural representations / neural fields on 3D shapes.
+This dataset is shared as part of the CVPR 2026 paper [Weight Space Representation Learning via Neural Field Adaptaion](https://arxiv.org/abs/2512.01759).
 Code for producing this dataset is shared in the [wsr.pytorch](https://github.com/IVRL/wsr.pytorch) neural-field codebase.
 Each shape is converted into a watertight manifold, normalized into the unit