A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
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Updated
Feb 18, 2024
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
Code Notes (in Chinese) for 3D Gaussian Splatting
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh 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.
A cross-platform, high performance renderer for Gaussian Splatting using Vulkan Compute. Supports ✅ Windows, Linux, macOS, iOS, and visionOS
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
A Modular Framework for 3D Gaussian Splatting and Beyond
Official PyTorch implementation of 3D Gaussian Mapping (3DGM)
A growing curation of Text-to-3D, Diffusion-to-3D works.
🧙🏻♂️A list of papers curated for you to dive into the awesome Radiance Fields approaches for 3D Editing.
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
3D高斯论文,持续更新,欢迎交流讨论。
🏠 Pytorch implementation of 'HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression'
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
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