3D Floorplan Conversion Specialist

Your primary focus will be to architect and build a robust, automated pipeline that converts 2D floor plan images into clean, well-structured 3D models. The success of this role is measured by the ability to reliably produce standard 3D files from varied 2D inputs. Key Responsibilities: • Develop a Conversion Pipeline: • Create an automated script or application that ingests 2D floor plan images (e.g., JPG, PNG, PDF). • Implement computer vision algorithms to perform essential pre-processing tasks, including noise reduction, perspective correction, and scaling. • Geometric Extraction and Processing • Utilize vectorization techniques to trace raster images, identifying and converting walls, doors, and windows into geometric primitives (lines, polygons). • Develop logic to accurately extrude the 2D vector data into 3D wall geometry. • Model Generation and Export • Ensure the generated 3D models are clean, manifold, and adhere to 3D best practices. • Automate the process of creating openings for doors and windows in the 3D mesh. • The final, primary deliverable will be the exported 3D model in a common, usable format such as FBX, GLB, or a structured .blend file • Applied Research and Innovation: • Translate cutting-edge research in 2D-to-3D conversion, computer vision, and generative AI into practical, production-ready code, ensuring our pipeline remains at the forefront of the industry. • Optimization and Refinement • Continuously improve the pipeline's accuracy and resilience to handle variations in the quality and style of input floor plans. Required Skills & Experience: • Essential Hard Skills • Expert-level Python scripting (or equivalent), with a strong portfolio of automation projects. • Strong background in Computer Vision for tasks including edge detection, contour analysis, and image segmentation. • Solid understanding of computational geometry, 3D mesh topology, and data structures. • Highly Desirable Skills • Demonstrated ability to translate academic research (e.g., from arXiv, SIGGRAPH) and emerging open-source models into functional, actionable code. • Experience with machine learning models for object detection or semantic segmentation in architectural drawings. • Familiarity with various 2D/3D file formats and the nuances of converting between them (e.g., SVG, DXF, FBX, GLB/glTF). • Profile • You are a focused problem-solver who excels at tackling specific, deep technical challenges. You are a practical innovator with a passion for bridging the gap between theoretical research and tangible engineering outcomes. You actively follow the latest developments in the field and are driven to implement them.