Raster manipulation for the Julia language
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Updated
May 26, 2024 - Julia
Raster manipulation for the Julia language
Analysis of georeferenced rasters and vectors
2D Vector Graphics Engine Powered by a JIT Compiler
Quickly and accurately render even the largest data.
Original reference implementation of the CUDA rasterizer from the paper "StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering"
Original reference implementation of "StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering"
An implementation of OpenGL 3.x-ish in clean C
Reconstructed the OpenGL API engine in Python and implemented the pipeline to render 2D and 3D models in the engine.
An improved AHN3 gridded DTM/DSM done as university project for the MSc Geomatics @ TU Delft
rabbitrender is pure software implementation of graphics pipeline, includes programmable shader system.
A PyTorch Library for Accelerating 3D Deep Learning Research
Visualization of various algorithms in computer science.
Differentiable rasterisation of point clouds in julia
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.
3D rendering and animation engine for multifaceted displays on microcontrollers
Lucid: real-time GPU software rasterizer for exact OIT
This is my personal library of code that is common to my different projects (Photosounder, SplineEQ, Spiral and others)
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