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xiaobiaodu/Mobile-GS ★ 342 38 APPLICATION

This repository implements Mobile-GS, a real-time Gaussian splatting approach for novel view synthesis optimized for mobile devices. The system trains 3D Gaussian representations from multi-view images, applies compression techniques (vector quantization, Huffman coding, GPCC) to reduce model size, and renders novel views via differentiable EWA (Elliptical Weighted Average) splatting. It includes training pipelines (train.py, pretrain.py), rendering engine (gaussian_renderer/), scene management, custom CUDA kernels for efficient rasterization, and evaluation metrics. The architecture follows a modular design with separate components for training, rendering, scene handling, and compression, optimized for deployment on mobile platforms with limited computational resources.

RATING: 7.1/10 MAINT: active DRIFT: medium
#gaussian-splatting #real-time-rendering #mobile-optimization #novel-view-synthesis #model-compression #cuda-accelerated #differentiable-rendering #3dgs #real-time #rendering-3d-graphics
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