| --- |
| dataset_info: |
| features: |
| - name: item_id |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: domain |
| dtype: string |
| - name: level |
| dtype: string |
| - name: conditioning |
| dtype: string |
| - name: reference_image |
| dtype: image |
| - name: nova3d_preview |
| dtype: image |
| - name: nova3d_code |
| dtype: string |
| - name: meshy_preview |
| dtype: image |
| - name: trellis2_preview |
| dtype: image |
| - name: triposg_preview |
| dtype: image |
| - name: partcrafter_preview |
| dtype: image |
| - name: cubepart_preview |
| dtype: image |
| - name: meshanything_preview |
| dtype: image |
| - name: cadcoder_preview |
| dtype: image |
| - name: cadcoder_code |
| dtype: string |
| - name: blenderllm_preview |
| dtype: image |
| - name: blenderllm_code |
| dtype: string |
| - name: text2cad_preview |
| dtype: image |
| - name: text2cadquery_preview |
| dtype: image |
| - name: text2cadquery_code |
| dtype: string |
| - name: llamamesh_preview |
| dtype: image |
| - name: naive_blender_llm_preview |
| dtype: image |
| - name: naive_blender_llm_code |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 96231418 |
| num_examples: 54 |
| download_size: 95198118 |
| dataset_size: 96231418 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - text-to-3d |
| - image-to-3d |
| pretty_name: Nova3D-Bench (preview) |
| size_categories: |
| - n<1K |
| --- |
| |
| # Nova3D-Bench (preview) |
|
|
| A frozen, spec-grounded benchmark from *Nova3D: Code-Native Generation of |
| Programmable 3D Assets*: 54 prompts across six domains and three difficulty |
| levels, each with a machine-checkable ground-truth spec. It compares |
| **code-native** 3D generation — a program that produces the model, not just |
| the model — against mesh-native, CAD, and part-structured baselines. |
|
|
| This is a **preview release**: one row per benchmark item, one column per |
| pipeline. See [Data completeness](#data-completeness) below — full `.glb` |
| models are currently only available for 2 of the 13 pipelines; the rest are |
| render previews only, pending baseline re-runs. |
|
|
| ## Dataset summary |
|
|
| | | | |
| |---|---| |
| | Benchmark items | 54 | |
| | Domains | 6 (architecture, characters, furniture, mechanical, tools, vehicles) | |
| | Difficulty levels | 3 (L1 ≤8 parts / L2 9–25 parts / L3 >25 parts) | |
| | Conditioning | 24 text-only, 30 image+text | |
| | Pipelines run | 13 (Nova3D + 12 baselines) | |
|
|
| ## Schema |
|
|
| One row per benchmark item. Metadata columns, then one `<pipeline>_preview` |
| image column per pipeline, plus a `<pipeline>_code` text column for the 5 |
| pipelines that emit source. |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `item_id` | string | e.g. `arch-L1-01` | |
| | `prompt` | string | Full instruction given to every system (image items still get a text prompt — see note below) | |
| | `domain` | string | One of the 6 domains | |
| | `level` | string | `L1` / `L2` / `L3` | |
| | `conditioning` | string | `text` or `image` | |
| | `reference_image` | image | Synthetic reference photo/sketch; a shared "n/a" placeholder for text-only items | |
| | `<pipeline>_preview` | image | Rendered textured view of that pipeline's output; "n/a" placeholder if the pipeline doesn't apply to this item's conditioning type, or the run failed | |
| | `<pipeline>_code` | string | Generated source (Nova3D `code.py`, CAD-Coder `model.py`, BlenderLLM `model.bpy.py`, Text2CADQuery `code.py`, naive-Blender-LLM `code.py`); `null` where not applicable | |
|
|
| **Note on `reference_image`/`<pipeline>_preview`:** every Image column always |
| holds a real image, never `null` — the Hugging Face Viewer renders `null` in |
| an Image column as a broken "Not supported with pagination yet" cell instead |
| of blank, so a shared dark "n/a" placeholder is used wherever nothing |
| applies. |
|
|
| **Note on prompts:** image-conditioned items are still fully text-prompted — |
| e.g. `"Recreate the street bollard shown in the reference photo."` — and any |
| numeric constraints on an image item are spelled out in the prompt text too, |
| since a constraint the system can't see in text isn't a fair test. |
|
|
| ## Pipeline registry — 13 total |
|
|
| | Category | Pipelines | What it ships | |
| |---|---|---| |
| | Code-native | Nova3D, BlenderLLM | A program that produces the model | |
| | CAD | CAD-Coder, Text2CAD, Text2CADQuery | Parametric solids via a CAD kernel (CadQuery / STEP) | |
| | Part-structured | PartCrafter, CubePart | Mesh output with explicit part segmentation | |
| | Mesh-native | Meshy, TRELLIS.2, TripoSG, MeshAnything, LlamaMesh, naive-Blender-LLM* | Direct mesh surface, no source, no part structure | |
|
|
| \* naive-Blender-LLM is an **ablation of Nova3D itself** (same underlying |
| LLM route, no master prompt / repair loop / validation pass) — included to |
| isolate what Nova3D's engineering contributes, not a third-party system. |
|
|
| Coverage varies by pipeline because most baselines only support one |
| conditioning type: Nova3D and Meshy ran on all 54 items; the 5 image-only |
| baselines (TRELLIS.2, TripoSG, PartCrafter, CubePart, MeshAnything) only |
| apply to the 30 image-conditioned items; the 5 text-only baselines |
| (CAD-Coder, BlenderLLM, Text2CAD, Text2CADQuery, naive-Blender-LLM) only |
| apply to the 24 text-conditioned items, and further drop below 24 from real |
| generation failures on that baseline. |
|
|
| ## Data completeness |
|
|
| This preview currently ships **render previews for every pipeline** but |
| **full `.glb` models for only 2 of the 13 pipelines**: |
|
|
| | Status | Pipelines | |
| |---|---| |
| | `.glb` available | Nova3D (54/54), naive-Blender-LLM (39/54 — rest were failed exports) | |
| | `.glb` not currently recoverable | Meshy, TRELLIS.2, TripoSG, PartCrafter, CubePart, MeshAnything, CAD-Coder, Text2CAD, Text2CADQuery, LlamaMesh, BlenderLLM | |
|
|
| Nova3D and naive-Blender-LLM route through persistent Azure Blob Storage, so |
| their models were recoverable after the fact. The other 11 baselines were |
| run against ephemeral Cloudflare Quick Tunnels or local/private-network |
| servers at generation time; those endpoints no longer exist, so their |
| `.glb`s are not recoverable from this repo and would require re-running the |
| baseline or locating a separate archive of the original outputs. |
|
|
| ## License |
|
|
| CC BY 4.0. No named or trademarked objects are included in the benchmark |
| (see IP policy in the paper's dataset section). |
|
|
