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DUSt3R: Geometric 3D Vision Made Easy

Python 5,110 559 Updated Sep 20, 2024

Grounding Image Matching in 3D with MASt3R

Python 923 59 Updated Oct 3, 2024

A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites

967 64 Updated Oct 3, 2024

[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.

Python 556 43 Updated Aug 18, 2024

🤗 image matching toolbox webui

Python 716 59 Updated Sep 28, 2024

An AR application in Mount Emei

C# 3 2 Updated Sep 7, 2023

Unofficial implementation of DragGAN with StyleGAN2/3 pretrained models

Python 93 11 Updated May 26, 2023

[AAAI 2023] DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images

Python 63 2 Updated Jul 7, 2023

🚀 AirVO upgrades to AirSLAM 🚀

C++ 731 105 Updated Sep 25, 2024

Awesome Low-light Enhancement

117 14 Updated Jan 19, 2023
Python 210 19 Updated Oct 6, 2022

为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Python 64,504 7,974 Updated Oct 1, 2024

GCNv2 SLAM with libtorch 1.5.1

Makefile 6 Updated Dec 21, 2021

deep learning for image processing including classification and object-detection etc.

Python 22,584 7,931 Updated Jul 25, 2024

🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

Python 144 16 Updated Oct 4, 2023

We are committed to building an cartoon community using deep generative models

Python 13 3 Updated Nov 11, 2022

视觉(语义) SLAM 相关研究跟踪

1,763 407 Updated Jul 5, 2021

Implementation of Real-NVP in Tensorflow

Python 102 23 Updated Sep 26, 2018

books papers notes

Jupyter Notebook 117 47 Updated Jul 26, 2019

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

JavaScript 54,349 15,834 Updated Jun 26, 2024

Tutorials for invertible neural networks.

Jupyter Notebook 5 6 Updated May 21, 2019

A TensorFlow implementation of Invertible Residual Networks

Python 19 2 Updated Dec 8, 2022

A list of all named GANs!

Python 14,244 2,546 Updated Oct 6, 2023