---
license: apache-2.0
language:
  - en
size_categories:
  - n<1K
tags:
  - 3d
  - sdf
  - siren
  - hypernetwork
  - implicit-neural-representations
pretty_name: "Hypernet Prior Topic 03 Archive"
---

# Hypernet — Prior Topic 03 Archive

Complete archive of the **prior topic 03 research thread**: per-shape SIREN
decoders, per-layer hypernetwork architectures, mapper experiments, and
ancillary checkpoints. This work predates the current image-to-3D pipeline
documented in [hypernet-image-to-3d](https://github.com/BOB-THE-BUILDER-in/hypernet-image-to-3d)
and the [main dataset](https://huggingface.co/datasets/bobthebuilderinternational/hypernet-image-to-3d-data).

100 shapes, naming convention `obj_NN` for `NN` in `[0..99]`.

## Contents

| Path | Size | Description |
|---|---|---|
| `watertight/` | ~5.6 GB | 100 watertight `.obj` meshes (filename `obj_NN.obj`) |
| `sdf_samples/` | ~591 MB | 100 `.npz` files with point/SDF pairs |
| `shape_sirens/` | ~505 MB | 100 trained per-shape SIREN decoders + reconstructions in `meshes_w30/` |
| `hypernets/` | ~6.7 GB | 100 trained per-shape hypernetworks (full weight space) |
| `image_sirens/` | ~629 MB | 2400 image-SIREN files (24 views × 100 shapes) |
| `checkpoints/` | ~220 MB | VAE, direct-mapper, and h90 variant checkpoints |
| `diagnostics/` | ~1 MB | Training diagnostic plots and metric dumps |
| `hypernet_meshes/` | ~188 MB | Sample reconstructions from trained hypernets |

## Note on naming

The corresponding folder in the source repo was named `sdf_samples_old10`;
it has been renamed to `sdf_samples` here for clarity. The `_old10` suffix
was a local distinguisher when this codebase ran alongside other variants.

## Citation

```
Jain, A. (2026). Hypernet research archive — prior topic 03 (per-shape hypernetworks
and SIREN decoders). HuggingFace: bobthebuilderinternational/hypernet-prior-topic03.
```

## License

Apache 2.0. Underlying meshes are derived from publicly available sources
under their own licenses.