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MORPHEUS Pipeline研究
MORPHEUS Pipeline

MORPHEUS Pipeline

Mesh-to-CAD Reverse Engineering Pipeline

研究RHX.LAB experiment

Restore scans, meshes, and imperfect models into CAD and render-ready assets.

MORPHEUS is a geometry reconstruction and conversion pipeline that helps RHXY Render handle 3D/CAD data more flexibly.

它能实现什么

Geometry recovery

Find editable geometry signals from STL, OBJ, and point clouds.

Material and feature understanding

Connect surfaces, edges, fillets, and material candidates to rendering workflows.

Scene handoff

Move restored models into image, video, and turntable scene creation.

工作方式

01

Clean

Reduce scan noise and incomplete surfaces.

02

Rebuild

Recognize features and restore CAD/render-ready surfaces.

03

Stage

Hand off to Render scenes with material, lighting, and camera controls.

输出示例

MORPHEUS Pipeline
Experiment preview
CAD conversion candidates
Feature/surface classes
Material mapping drafts
Render scene input

Connected to RHXY Render data preparation.

Currently in research, validating CAD conversion and AI material/scene workflows.

当前状态

STL → STEP basic conversionResearch
AI feature recognitionResearch
Point cloud supportPlanned

技术细节

Input: STL/OBJ/Point cloud → Noise filtering → Surface reconstruction → Feature recognition (edges, fillets, holes) → Parametric CAD conversion → Material/texture mapping → Output: STEP/IGES AI-based feature classifier automatically categorizes machined features, organic surfaces, and planar faces.

核心能力

STL/OBJ → STEP/IGES conversion
Point cloud processing
Feature recognition (edges, fillets, holes, bosses)
Surface reconstruction (NURBS)
Automatic material/texture mapping
Parametric output
Simulation-compatible mesh generation

路线图

STL → STEP basic conversionResearch
AI feature recognitionResearch
Point cloud supportPlanned
Automatic material mappingPlanned
RHXY Render integrationPlanned

公开范围

Pipeline concepts and benchmark results are public. Feature classification models and training data are proprietary.

MORPHEUS Pipeline — RHX.LAB | RHX.LAB