luyithu

luyithu's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  310k8.4k50777.5k

• Light-City/CPlusPlusThings

  C++那些事

  Language:C++40k5492258.6k

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.3k8538880

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.3k36216374

• AiuniAI/Unique3D

  [NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

  Language:Python3.2k40117255

• Anttwo/SuGaR

  [CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

  Language:C++2.4k63229195

• darglein/ADOP

  Language:C++2k8690199

• TRI-ML/packnet-sfm

  TRI-ML Monocular Depth Estimation Repository

  Language:Python1.2k58228245

• zju3dv/street_gaussians

  [ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

  Language:Python951707558

• ShenhanQian/GaussianAvatars

  [CVPR 2024 Highlight] The official repo for "GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians"

  Language:Python664306799

• OpenDriveLab/DriveAGI

  [CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

  Language:Python653301330

• fudan-zvg/4d-gaussian-splatting

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

  Language:Python646245945

• TRI-ML/vidar

  Language:Python586235269

• ali-vilab/Infusion

  Official implementation for paper: InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

  Language:Python54982318

• lfranke/TRIPS

  Language:C++527605431

• LightwheelAI/street-gaussians-ns

  Unofficial implementation of "Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting", ECCV2024.

  Language:Python337125530

• VDIGPKU/DrivingGaussian

  [CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

  29027229

• youmi-zym/CompletionFormer

  [CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

  Language:Python24563323

• baegwangbin/MaGNet

  [CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

  Language:Python21591715

• alexklwong/unsupervised-depth-completion-visual-inertial-odometry

  Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

  Language:Python19011824

• SwinTransformer/MIM-Depth-Estimation

  This is an official implementation of our CVPR 2023 paper "Revealing the Dark Secrets of Masked Image Modeling" on Depth Estimation.

  Language:Python16921211

• windingwind/seal-3d

  The official implementation of the paper Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields, the first interactive pixel-level NeRF editing tool.

  Language:Python167987

• ispc-lab/LiDAR4D

  💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

  Language:Python16541016

• hku-mars/M2Mapping

  A MultiModal Mapping (M2Mapping) Framework for LiDAR-Visual Systems

  1311102

• tangtaogo/lidar-nerf

  LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

  Language:Python131499

• YufeiWang777/LRRU

  Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.

  Language:Python838234

• fudan-zvg/NeRF-LiDAR

  [AAAI 2024] NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields

  Language:Python82645

• esdolo/FreeVS

  FreeVS: Generative View Synthesis on Free Driving Trajectory

  7414111

• QT-Zhu/RPBG

  [ECCV 2024 Oral] Code for RPBG: Towards Robust Neural Point-based Graphics in the Wild.

  Language:Python42231

• runjtu/awesome-and-novel-works-in-slam

  collecting some new ideas for slam (Semantic, 3DGS, BEV, Nav, LLM, Multi-session) and will update this repo weekly, for both engineering and academic usings.

  40203