---
license: other
tags:
- 3d
- neural-fields
- siren
- hypernetwork
- shape-generation
---

# Hypernetwork → Shape pipeline checkpoints

Trained models and processed data for image-to-3D experiments documented at
**[BOB-THE-BUILDER-in/Hypernetwork](https://github.com/BOB-THE-BUILDER-in/Hypernetwork)**.

## Contents

- `tier_essential.tar.gz` (1.98 GB) — anchors, autoencoder, mappers, results
- `tier_data.tar.gz` (2.67 GB) — watertight meshes, SDF samples, image-SIRENs, shape-SIRENs
- `tier_hypernets.tar.gz` (6.69 GB) — 100 trained hypernets (one per training shape)

## Source

Mesh data derived from [Objaverse 1.0](https://objaverse.allenai.org/).
Individual creators retain rights to original models.

## Restore

See the GitHub repo's README for full restoration instructions.

## Key results

- Direct weight prediction (264K-dim) at N=100 produces fragmented OOD predictions
- Latent autoencoder compression to 128 dims rescues OOD generalization
- Mapper from hypernet → 128-dim latent achieves MSE 1.4e-5 with 9M× scrambled-cond ratio