VuHuy-cse-9's Stars
JoeyDeVries/LearnOpenGL
Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
APRIL-ZJU/Coco-LIC
[RA-L 2023] Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline
KevinXu02/splatfacto-w
Loping151/EndoGSLAM
Offical Code Implementation for EndoGSLAM
HuajianUP/Photo-SLAM
[CVPR 2024] Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras
Lab-of-AI-and-Robotics/GS_ICP_SLAM
[ECCV 2024] RGBD GS-ICP SLAM
MrNeRF/awesome-3D-gaussian-splatting
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.
dreamgaussian/dreamgaussian
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
yihua7/SC-GS
[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
hustvl/4DGaussians
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
JonathonLuiten/Dynamic3DGaussians
VDIGPKU/DrivingGaussian
[CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
NVlabs/EmerNeRF
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Nightmare-n/UniPAD
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving (CVPR 2024)
EnVision-Research/Adv3D
cskkxjk/MonoNeRD
(ICCV2023) MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
PJLab-ADG/neuralsim
neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.
GANWANSHUI/SimpleOccupancy
(IEEE TIV) A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
linhkid/ArxivDigest-extra
ArXiv Digest and Personalized Recommendations using Large Language Models
karpathy/llm.c
LLM training in simple, raw C/CUDA
jomariya23156/sales-forecast-mlops-at-scale
Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
TickLabVN/tonic
Swagger documentation for Go
antabangun/DualRefine
This repository contains the code for the paper "DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium", a self-supervised depth and pose estimation model. It refines depth and pose estimates by computing matching costs based on epipolar geometry and deep equilibrium model.
czczup/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
vojtamolda/reinforcement-learning-an-introduction
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
GitGyun/visual_token_matching
[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
hyBlue/FSRE-Depth
Python3 / PyTorch implementation of the following paper: Fine-grained Semantics-aware Representation Enhancement for Self-supervisedMonocular Depth Estimation. ICCV 2021 (oral)
HPCMonitoring/docs
All documents of system goes here. Please look through before exploring our source codes.