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ShengjieHoo (SkevyHoo)

SkevyHoo

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Company:HNU

Location:ChangSha，China

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ShengjieHoo's starred repositories

MonoGS

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

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threestudio

A unified framework for 3D content generation.

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GaussianSplattingViewer

Tiny Gaussian Splatting Viewer

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splat

WebGL 3D Gaussian Splat Viewer

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gsgen

[CVPR 2024] Text-to-3D using Gaussian Splatting

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NewEraAI-Papers

The repository provides links to collections of influential and interesting research papers from top AI conferences, with open-source code to promote reproducibility and provide detailed implementation insights beyond the scope of the article. Stay up to date with the latest advances in AI research!

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Deformable-3D-Gaussians

[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

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awesome-nerf-editing

🧙🏻‍♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.

License:MITStargazers:424Issues:0Issues:0

4d-gaussian-splatting

[ICLR 2024] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

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gsplat

CUDA accelerated rasterization of gaussian splatting

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sdfstudio

A Unified Framework for Surface Reconstruction

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Dynamic3DGaussians

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ZoomLab_NeRF

NeRF代码讲解

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colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

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gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

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nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

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DCC-Net

Code for paper "Deep Color Consistent Network for Low Light-Image Enhancement"

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CS-Books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

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core-pytorch-utils

Yet another PyTorch Trainer and some core components for deep learning.

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HWMNet

Half Wavelet Attention on M-Net+ for Low-light Image Enhancement

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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unet_pytorch

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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