Pamphlett's Stars
ActiveVisionLab/Awesome-LLM-3D
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
ianliuy/Resume
My CV template, 35+ Online Assessments
ge25nab/Awesome-VLM-AD-ITS
This repository collects research papers of large Vision Language Models in Autonomous driving and Intelligent Transportation System. The repository will be continuously updated to track the latest update.
ActiveVisionLab/SD4Match
IrohXu/Awesome-Multimodal-LLM-Autonomous-Driving
[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
zubair-irshad/Awesome-Robotics-3D
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
MIT-SPARK/Clio
42Shawn/LLaVA-PruMerge
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
CircleRadon/TokenPacker
The code for "TokenPacker: Efficient Visual Projector for Multimodal LLM".
AronCao49/Latte
[ECCV 2024] Reliable Spatial-Temporal Voxels for Multi-Modal Test-Time Adaptation
MIT-SPARK/certifiable_tracking
liw95/DiffLoc
[CVPR2024] DiffLoc: Diffusion Model for Outdoor LiDAR Localization
LightwheelAI/street-gaussians-ns
Unofficial implementation of "Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting", ECCV2024.
HCPLab-SYSU/Embodied_AI_Paper_List
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
khanrc/honeybee
Official implementation of project Honeybee (CVPR 2024)
wzzheng/OccWorld
[ECCV 2024] 3D World Model for Autonomous Driving
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
opendilab/LMDrive
[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
OpenDriveLab/End-to-end-Autonomous-Driving
[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
OpenDriveLab/Vista
A Generalizable World Model for Autonomous Driving
mbortolon97/6dgs
Code of the paper: 6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
url-kaist/HeLiMOS-PointCloud-Toolbox
HeLiMOS: Heterogeneous LiDAR Dataset for Moving Object Segmentation @ IROS'2024
DLR-RM/moegplib
Official Code: Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
GAP-LAB-CUHK-SZ/gaustudio
A Modular Framework for 3D Gaussian Splatting and Beyond
OpenDriveLab/ELM
[ECCV 2024] Embodied Understanding of Driving Scenarios
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
LeiSun-98/TIVM-master
Jiacheng-Zhu-AIML/WGPOT
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
csuhan/OneLLM
[CVPR 2024] OneLLM: One Framework to Align All Modalities with Language
zubair-irshad/NeRF-MAE
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields