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12 Lessons to Get Started Building AI Agents
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
PyTorch code and models for the DINOv2 self-supervised learning method.
Reference PyTorch implementation and models for DINOv3
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
A unified framework for 3D content generation.
Taming Transformers for High-Resolution Image Synthesis
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
3D U-Net model for volumetric semantic segmentation written in pytorch
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
[ECCV`24&ICLR`25] CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating
$D^2$SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm
Robot path planning, mapping and exploration algorithms
This repository shares the documentation and development kit of the View of Delft automotive dataset.
DS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods
BotanicGarden: A high-quality dataset for robot navigation in unstructured natural environments
A beginner-friendly SLAM mini-course with Jupyter notebooks — covering Bayes Filters, Kalman Filters, Particle Filters, and Graph-based SLAM with hands-on Python examples.
Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method (CVPR-25)