Rasterization Collection

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🔮Psychic

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“A PyTorch Library for Accelerating 3D Deep Learning Research”

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🔮Psychic

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“Quickly and accurately render even the largest data.”

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📦Normal

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“Learn computer graphics by writing GPU shaders!”

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🔥Fire

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“2D Vector Graphics Engine Powered by a JIT Compiler”

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⚔️Fighting

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“An implementation of OpenGL 3.x-ish in clean C”

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🔮Psychic

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“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.”

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🔥Fire

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“Tiny C++ Software Renderer / Rasterizer, and implements OpenGL and Vulkan renderers for comparison”

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🔮Psychic

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“Python bindings to PDFium, reasonably cross-platform.”

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🔥Fire

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“Software rendering engine with PBR. Built from scratch on C++.”

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🔥Fire

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“Vulkan Real-time Path Tracer Engine”

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🔥Fire

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“Advanced viewer implementing several rendering methods for 3D gaussians using Vulkan API”

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📦Normal

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“Raster manipulation for the Julia language ”

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🔮Psychic

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“Original reference implementation of "StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering" ”

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🔥Fire

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“3D rendering and animation engine for multifaceted displays on microcontrollers ”

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🔥Fire

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“CPU Based Rasterizer Engine”

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🔥Fire

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“Multi-threaded, CPU-based vector graphics rasterizer.”

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📦Normal

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“Improved 3DGS rasterizer.”

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🔮Psychic

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“Analysis of georeferenced rasters, vectors and point clouds”