zachtian's starred repositories
Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
Naturalistic-and-Adversarial-Driving-Environment
This repo contains the code for paper "Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment".
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
ui_3d_flutter
Flutter 3D beautiful UI using O3D dependency.
Driving-with-LLMs
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
occupancy_flow
This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
Deep3DFaceRecon_pytorch
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
Deep3DFaceReconstruction
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
tryondiffusion
TryOnDiffusion: A Tale of Two UNets Implementation
3D-face-reconstruction-paper-list
paper list of some 3D face reconstruction
B-GAP-Behavior-Guided-Action-Prediction-and-Navigation-for-Autonomous-Driving
This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L and presented at IROS 2022.
CVPR-2023-24-Papers
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!