| --- |
| license: cc0-1.0 |
| tags: |
| - onnx |
| - pbr |
| - texture |
| - normal-map |
| - qtmesheditor |
| - qtmesh |
| - qtmesh-cloud |
| library_name: onnx |
| --- |
| |
| # QtMeshEditor — AI models |
|
|
| ONNX models used by [QtMeshEditor](https://github.com/fernandotonon/QtMeshEditor)'s |
| AI-assisted authoring features. |
|
|
| ## PBR map synthesis |
|
|
| `1x-PBRify_NormalV3.onnx`, `1x-PBRify_RoughnessV2.onnx`, `1x-PBRify_Height.onnx` |
| generate tangent-space normal / roughness / height maps from a single albedo |
| (diffuse) texture. |
|
|
| These are **ONNX re-exports** of the CC0 SPAN models from |
| **[Kim2091/PBRify_Remix](https://github.com/Kim2091/PBRify_Remix)** (LICENSE: |
| CC0-1.0), trained on CC0 content from ambientCG / Poly Haven. Converted with |
| `scripts/export-pbrify-onnx.py` in the QtMeshEditor repo (spandrel + |
| `torch.onnx.export`, opset 18). All credit for the weights goes to Kim2091. |
|
|
| - **License:** CC0-1.0 (public domain), same as the source models. |
| - **I/O:** 1×3×H×W float NCHW in `[0,1]` → 1×3×H×W out (normal as RGB; |
| roughness/height as RGB, consumed as luminance). Dynamic H/W. |
|
|
| QtMeshEditor downloads these on first use into `<AppData>/ai_models/pbr/`. |
|
|
| More info in [QtMesh Cloud website](https://qtmesh.dev) |
| ## Texture upscaling |
|
|
| `RealESRGAN_x2plus.onnx`, `RealESRGAN_x4plus.onnx` — 2×/4× super-resolution. |
| ONNX re-exports of **Real-ESRGAN** ([xinntao](https://github.com/xinntao/Real-ESRGAN), |
| **BSD-3-Clause**). Downloaded into `<AppData>/ai_models/pbr/`. Credit: xinntao. |
|
|
| ## Auto-rig skeleton prediction (UniRig) |
|
|
| `unirig/encoder.onnx`, `unirig/decoder.onnx`, `unirig/embed.onnx` — ML skeleton |
| prediction for unrigged meshes. These are **ONNX re-exports** of |
| **[VAST-AI/UniRig](https://huggingface.co/VAST-AI/UniRig)** (SIGGRAPH 2025 — MIT |
| code + MIT weights, trained on Articulation-XL2.0 / CC-BY-4.0). Converted with |
| `scripts/export-unirig-onnx.py` in the QtMeshEditor repo. Downloaded into |
| `<AppData>/ai_models/unirig/`. Credit for the weights: VAST-AI-Research. |
|
|
| ## Animation in-betweening (RMIB) — trained by us |
|
|
| `inbetween/rmib.onnx` — fills the gap between two keyframes with smooth |
| intermediate motion. **Trained from scratch** by the QtMeshEditor project on the |
| permissive [CMU Graphics Lab Motion Capture Database](http://mocap.cs.cmu.edu). |
| Beats spherical-linear interpolation by >2× on held-out CMU motion. |
| **Dedicated repo:** [fernandotonon/QtMeshEditor-rmib-inbetween](https://huggingface.co/fernandotonon/QtMeshEditor-rmib-inbetween). |
| Downloaded into `<AppData>/ai_models/inbetween/`. License: CC-BY-4.0. |
|
|
| ## Mesh part segmentation — trained by us |
|
|
| `segment/meshseg.onnx` — predicts head / torso / arm / leg labels per point |
| (PointNet++-style). **Trained from scratch** by the QtMeshEditor project on |
| **synthetic, permissively-derived** data (per-vertex labels from rigged-humanoid |
| bone weights — CC0). Sidesteps the non-commercial ShapeNet-Part / PartNet |
| datasets. **Dedicated repo:** [fernandotonon/QtMeshEditor-mesh-segmentation](https://huggingface.co/fernandotonon/QtMeshEditor-mesh-segmentation). |
| Downloaded into `<AppData>/ai_models/segment/`. License: CC-BY-4.0. |
|
|
| --- |
|
|
| These models power the AI-assisted authoring features in |
| **[QtMeshEditor](https://github.com/fernandotonon/QtMeshEditor)** and its |
| companion **QtMesh Cloud** ([qtmesh.dev](https://qtmesh.dev)). Each downloads on |
| first use and runs locally (offline). Mixed licenses per model as noted above |
| (CC0 / BSD-3 / MIT-derived / CC-BY-4.0); see each section + the QtMeshEditor |
| `THIRD_PARTY_AI_MODELS.md`. |
|
|
