gaussian_splatting_notes
awesome-3D-gaussian-splatting
gaussian_splatting_notes | awesome-3D-gaussian-splatting | |
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1 | 2 | |
425 | 4,498 | |
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6.5 | 9.7 | |
6 months ago | 5 days ago | |
- | MIT License |
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gaussian_splatting_notes
awesome-3D-gaussian-splatting
- MrNeRF/awesome-3D-gaussian-splatting: Curated list of papers and resources focused on 3D Gaussian Splatting
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Gsplat: CUDA accelerated rasterization of gaussians with Python bindings
Something close to what you mention is dynamic scene capture, such as this paper: https://dynamic3dgaussians.github.io/
You can manipulate the splats in viewer, kind of similar to a pointcloud, something to the effect of https://twitter.com/parazar/status/1713618668788109357 but there are a bunch around social media.
This has an entrypoint to the research and various projects so far: https://github.com/MrNeRF/awesome-3D-gaussian-splatting
What are some alternatives?
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
splat - WebGL 3D Gaussian Splat Viewer
CMiner - The fastest Cuda miner in the market
2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
JetScan - JetScan : GPU accelerated portable RGB-D reconstruction system
3DGS.cpp - A cross-platform, high performance renderer for Gaussian Splatting using Vulkan Compute. Supports ✅ Windows, Linux, macOS, iOS, and visionOS
Rhinoceros-3D-for-Linux - This is a project, where I give you a way to use Rhino 3D on Linux!
SuGaR - [CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Ubuntu-Deep-Learning-Environment-Setup - Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档
udisk - The fastest ACID-transactional persisted Key-Value store designed as modified LSM-Tree for NVMe block-devices with GPU-acceleration and SPDK to bypass the Linux kernel