ldkong1205

Lingdong Kong's starred repositories

gemma_pytorch

The official PyTorch implementation of Google's Gemma models

Language:PythonApache-2.05090 39 34

efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

Language:PythonApache-2.01527 32 111

Latte

Latte: Latent Diffusion Transformer for Video Generation.

Language:PythonApache-2.01387 26 78

LGM

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

Language:PythonMIT1373 29 57

distrifuser

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

Language:PythonMIT460 8 12

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

Language:PythonMIT450 10 106

APE

[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception

Language:PythonApache-2.0446 6 49

patchwork

SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

Language:C++MIT425 13 22

SpatioTemporalSegmentation

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

Language:PythonMIT284 12 57

RoboFlamingo

Code for RoboFlamingo

Language:PythonMIT242 6 42

ChatSim

[CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration

Language:Python237 14 27

GPTEval3D

[ CVPR 2024 ] Implementation for "GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation"

Language:Python190 100

LiDiff

Language:PythonMIT169 10 15

Awesome-Multimodal-LLM-Autonomous-Driving

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

MIT150 6 1

panacea

[CVPR2024] Official Repository of Paper "Panacea: Panoramic and Controllable Video Generation for Autonomous Driving"

Language:PythonApache-2.0122 16 16

UncertaintyInNeuralNetworks_Resources

91 3 1

World-Models-Autonomous-Driving-Latest-Survey

A curated list of world models for autonomous driving. Keep updated.

87 70

PointBeV

Official implementation of PointBeV: A Sparse Approach to BeV Predictions

Language:PythonMIT58 4 3

bflow

Official implementation of "Dense Continuous-Time Optical Flow from Event Cameras"

Language:PythonApache-2.040 70

m3ed

M3ED Dataset

Language:Python35 5 12

HARDVS

[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Language:PythonApache-2.026 2 7

ScaLR

PyTorch code and models for ScaLR image-to-lidar distillation method

Language:PythonNOASSERTION22 80

Optix

Memory Efficient Training Framework for Large Video Generation Model

Language:PythonApache-2.019 4 1

HyperE2VID

HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks (IEEE Transactions on Image Processing, 2024)

Language:PythonMIT18 1 7

lidar-camera-placement

[ICRA'24] Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving

Language:PythonMIT15 10

pcl-augmentation

Point cloud data (PCL) augmentation for detection and segmentation

Language:PythonMIT11 2 2

CDSpixel

[AAAI24] Learning Invariant Inter-pixel Correlations for Superpixel Generation

Language:PythonMIT900

metacal

ICML2021 Meta-Cal: Well-controlled Post-hoc Calibration by Ranking.

Language:Python7 20

open-world-panoptic-segmentation

Language:Python4 20

Uncertainty_aware_MobileFormer

Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition

Language:PythonMIT3 10