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Name: hundertdreizehn
Type: User
Name: hundertdreizehn
Type: User
A curated list of awesome datasets for SLAM
An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)
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Generate dataset for visual localiation in CARLA 0.8.2
A Coarse-to-Fine Approach for Dynamict-to-static Image Transformation
A complete computer science study plan to become a software engineer.
COLMAP - Structure-from-Motion and Multi-View Stereo
Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems" (https://arxiv.org/abs/2303.05754).
Code for deep generative prior (ECCV2020 oral)
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
使用模型来生成作图咒语的偷懒工具,支持 MidJourney、Stable Diffusion 等。基于苏洋的仓库,为了部署在WSL2中进行了些修改。
Implementation for learning a mapping from images that contain dynamic objects in a city environment to static realistic images
Implementation for learning a mapping from urban images that contain dynamic objects to static realistic images suitable for SLAM
Pytorch code for semantic segmentation using ERFNet
Modified tool of the TUM RGB-D dataset that automatically computes the optimal scale factor that aligns trajectory and groundtruth. Useful to evaluate monocular VO/SLAM.
Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)
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Histogram layer code for "Histogram Layers for Texture Analysis" (https://arxiv.org/abs/2001.00215).
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
LPIPS metric. pip install lpips
Latex code for making neural networks diagrams
Image-to-Image Translation in PyTorch
CVPR 2024: Residual Denoising Diffusion Models
Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral
Dynamic-to-Static Scene Transformation
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
edition 2 of the slambook
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.