A PyTorch Library for Accelerating 3D Deep Learning Research
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Updated
May 16, 2024 - Python
A PyTorch Library for Accelerating 3D Deep Learning Research
Quickly and accurately render even the largest data.
Analysis of georeferenced rasters and vectors
A software 3d rasterizer for pygame (no other dependencies, e.g. numpy)
An improved AHN3 gridded DTM/DSM done as university project for the MSc Geomatics @ TU Delft
Original reference implementation of "StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering"
A geometry-shader-based, global CUDA sorted high-performance 3D Gaussian Splatting rasterizer. Can achieve a 5-10x speedup in rendering compared to the vanialla diff-gaussian-rasterization.
HISDAC-ES: Creating historical settlement data for Spain (1900-2020) based on cadastral building footprint data
OMTP performance collection
Reconstructed the OpenGL API engine in Python and implemented the pipeline to render 2D and 3D models in the engine.
A 3D python rasterizer that renders full 3D scenes from loaded in .obj files
Selected python scripts for geoprocessing using open source geospatial resources
Implementação de métodos de rasterização - Computação Gráfica
Some projects are modified from Chu-Song Chen's class of 3D Computer Vision with Deep Learning Applications at National Taiwan University.
Reconstructed the OpenGL API engine in Python and implemented the pipeline to render 2D and 3D models in the engine.
A custom rasterization tool utilizing Pyngine to draw 3D objects.
Differentiable Point Radiance Fields Rasteriser for Novel View Synthesis
Learning the basics of rendering with PyTorch3D, exploring 3D representations, and practicing constructing simple geometry.
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