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JohnRomanelis/README.md

Ioannis Romanelis

PhD Candidate | Deep Learning & 3D Geometry
Point Clouds, Explainability, Generative Models, Computer Vision

🛠 Latest Work

SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models

SPVD

📄 View Paper | 🔗 Explore Code

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  1. SPVD SPVD Public

    SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models

    Jupyter Notebook 18 1

  2. VVRPanda/ExpPoint-MAE VVRPanda/ExpPoint-MAE Public

    Python 11

  3. SPVD_Lightning SPVD_Lightning Public

    SPVD⚡: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models (PyTorch Lightning)

    Python 2 1

  4. SHREC2022_PrimitiveRecognition SHREC2022_PrimitiveRecognition Public

    Code for our method from the collaborative SHREC 2022: Fitting and Recognition of Simple Geometric Primitives on Point Clouds.

    Jupyter Notebook 1

  5. 3D-detector-from-scratch 3D-detector-from-scratch Public

    This is the work I have made as part of my thesis. It is a from scratch implementation of a 3D detector.

    Python

  6. GeometricSaliency GeometricSaliency Public

    An educational tutorial for geometric feature extraction on 3D meshes using Python libraries like Open3D, NumPy, and PyTorch.

    Jupyter Notebook 1