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A PyTorch implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"
PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes"
Code release for NeuS
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
A 2-D/3-D mapping library relying on the "Iterative Closest Point" algorithm
Personal Notes gathered from various sources
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
Open source code for the paper of Neural Sparse Voxel Fields.
Code release for ICLR 2023 paper "NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning"
Ntrip Version 2.0 Command Line Client
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".
Keras Implementation of End to End Learning for Self-Driving Cars by (Baris Kayalibay, Grady Jensen, Patrick van der Smagt)
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
Maybe the first academic open work on stereo 3D SSC method with vision-only input.
OcclusionFusion: realtime dynamic 3D reconstruction based on single-view RGB-D
Code of "OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields".
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
OI / ACM essays and learning materials
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
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.