Nano3D-Edit-100k

This dataset is the official data release for Nano3D, a training-free framework for precise and coherent 3D object editing without masks.

Paper: Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks
Project Page: https://jamesyjl.github.io/Nano3D/

Nano3D integrates FlowEdit into TRELLIS to perform localized 3D edits guided by front-view renderings, and introduces Voxel/Slat-Merge strategies to preserve structural consistency between edited and unedited regions. This dataset was constructed using the Nano3D pipeline (image → 3D → edit), which avoids render-projection artifacts and yields highly consistent editing pairs.

---

Dataset Structure

Nano3D-Edit/
├── v0_15k/          # Early test version (~15k pairs, human-curated)
│   ├── editing_assets/
│   └── info/
└── v1_100k/
    ├── editing_assets/
    │   ├── part_000.tar.gz   # uid_0    ~ uid_999
    │   ├── part_001.tar.gz   # uid_1000 ~ uid_1999
    │   └── ...
    └── info/
        └── v1_100k_info.jsonl

v0_15k

An early test version of the dataset that has undergone manual curation for quality. Note that the editing instructions for this split were unfortunately lost and are not available.

v1_100k

The official full-scale release containing 100,000 high-quality 3D editing pairs. Each sample is stored in a folder uid_{i} (i = 0 to 99999) under editing_assets/:

File	Description
source.png	Front-view image of the original 3D asset
edit.png	Front-view image after 2D editing
src_mesh.glb	Original 3D mesh
tar_mesh.glb	Edited 3D mesh
src_slat.pt	Sparse latent (SLAT) of the original asset
tar_slat.pt	Sparse latent (SLAT) of the edited asset
edit_voxel_post.ply	Post-processed edit voxel (not always present)

info/

The info/ folder contains v1_100k_info.jsonl, a JSONL file with one record per sample. Each line has the following fields:

Field	Description
uid	Unique sample identifier, e.g. uid_0
prompt	Detailed text description of the original 3D asset
category	Object category, e.g. Plant, Vehicle, Furniture
edit_instruction	Natural language instruction describing the edit to apply

Example entry:

{
  "uid": "uid_0",
  "prompt": "A Victorian-style ornamental potted plant featuring stiff, symmetrical fronds and tightly coiled fern-like leaves carved from solid obsidian, its glossy black surface pockmarked with irregular rust-colored corrosion holes that bleed oxidized orange-brown mineral deposits into the surrounding grooves, evoking aged maritime decay reminiscent of abandoned Marine base flora in the One Piece world.",
  "category": "Plant",
  "edit_instruction": "Add a flared, ribbed gramophone horn and a side-mounted mechanical crank."
}

---

Editing Types

The dataset currently contains two types of edits:

• add — adding a new object or part to the asset
• replace — replacing an existing part of the asset

To obtain remove samples: The remove editing type is not directly included. You can construct it from add instructions by reversing them with an LLM — e.g., "add a hat on the head" → "remove the hat from the head".

---

Citation

If you use this dataset, please cite:

@article{ye2025nano3d,
  title={NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks},
  author={Ye, Junliang and Xie, Shenghao and Zhao, Ruowen and Wang, Zhengyi and Yan, Hongyu and Zu, Wenqiang and Ma, Lei and Zhu, Jun},
  journal={arXiv preprint arXiv:2510.15019},
  year={2025}
}