Talnex

waymax

A JAX-based simulator for autonomous driving research.

dreamgaussian

[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

TensoRF

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

StreamPETR

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

trimesh

Python library for loading and using triangular meshes.

TPVFormer

An academic alternative to Tesla's occupancy network for autonomous driving.

mipnerf

multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

nerf-factory

An awesome PyTorch NeRF library

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

awesome-resume-for-chinese

:page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

nerf_and_beyond_docs

DriveDreamer

[ECCV 2024] DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

3DTrans

An open-source codebase for exploring autonomous driving pre-training

numpy-ml

Machine learning, in numpy

nr3d_lib

Modules, operators and utilities for 3D neural rendering in single-object, multi-object, categorical and large-scale scenes.

mipnerf_pl

Unofficial pytorch-lightning implement of Mip-NeRF

instant-nsr-pl

Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

HyperNetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

nerf

Code release for NeRF (Neural Radiance Fields)

volsdf

NeuS2

[ICCV 2023] Official code for NeuS2

NeuS

Code release for NeuS

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

neuralsim

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

PCSim

PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placement of Roadside LiDARs for Autonomous Driving".

MobileR2L

[CVPR 2023] Real-Time Neural Light Field on Mobile Devices

SJTU-Application

https://survivesjtu.github.io/SJTU-Application/#/

Open3D

Open3D: A Modern Library for 3D Data Processing