Stars
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
[ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection".
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
[ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
[ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"
[IROS 2024] DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving.
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
[ECCV'24] SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
VBD: Versatile Behavior Diffusion for Generalized Traffic Agent Simulation
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
[RA-L 2024] DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
[NeurIPS 2024] DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
WAFR 2024: Multi-modal variational inference in multi-agent interaction enabled by VAE + differentiable Nash game solver.
Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.
The pytorch code for ICRA2020 paper 'CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios'
minipuding / Pytorch-VAE
Forked from AntixK/PyTorch-VAEA Collection of Variational Autoencoders (VAE) in PyTorch.
A Collection of Variational Autoencoders (VAE) in PyTorch.
[CVPR 2025] Official implementation of three papers "Certified Human Trajectory Prediction", "Vehicle trajectory prediction works, but not everywhere", and "Are socially-aware trajectory prediction…
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
Official implementation of the Neurocomputing paper "Multi-Vehicle Trajectory Prediction and Control at Intersections using State and Intention Information"
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.