Official Implementations for Paper - MagicQuill: An Intelligent Interactive Image Editing System

[MM24] Official codes and datasets for ACM MM24 paper "Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models".

Inpaint anything using Segment Anything and inpainting models.

SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement

Official repository of "HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions"

Official PyTorch Implementation of DreamCatalyst

Gaussian splatting implementation of Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

A repository of models, textual inversions, and more

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

A unified framework for 3D content generation.

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

我的学习笔记。My notebook, deploy at https://yindaheng98.github.io/

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

CUDA Visual Library by RPG

Visual localization made easy with hloc

【A simple used C++ threadpool】一个简单好用，性能优异的，跨平台的C++线程池。欢迎 star & fork

ROS 2 package that provides bidirectional communication between ROS 1 and ROS 2

cookbook for ROS (ROS1 and ROS2)

[TMECH 2023] Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM

lio-sam代码注释

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

CubeSLAM: Monocular 3D Object Detection and SLAM

这个一份SLAM/SFM求职指南，旨在帮助视觉SLAM/SFM的小伙伴们能够找到更好的工作。