3D Floorplan Conversion Specialist

7 days ago

Canada Future Works Full time

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.

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