[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs, in ICLR 2025 (Spotlight)

This is the implementation of paper "Expanding Sparse LiDAR Depth and Guiding Stereo Matching for Robust Dense Depth Estimation" on RAL 2023.

Depth Completion technique agnostic to input depth pattern sparsity, WACV23

[ICLR'25] Learning 3D Perception from Others' Predictions

UniDrive: Towards Universal Driving Perception Across Camera Configurations

[ICLR 2025] Official code implementation for the paper "X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios"

[ICLR 2025] GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting

1 million FPS multi-agent driving simulator

FreeVS: Generative View Synthesis on Free Driving Trajectory

[ICLR 2025 Spotlight] Official implementation for "DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes"

Code for the benchmark - DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

[ICLR 2025] The official implementation of SSR

(ICLR2025) Enhancing End-to-End Autonomous Driving with Latent World Model

Awesome lists about framework figures in papers

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

[CVPR 2025] Prompt Depth Anything

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

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

Official Implementation of paper "V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction"

[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

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

[ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024

[CVPR'25] Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition