Create README.md

README.md

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+---
+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