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Name: cheng zhang
Type: User
Company: pungke
Location: shanghai
Blog: http://otherstones.com
Name: cheng zhang
Type: User
Company: pungke
Location: shanghai
Blog: http://otherstones.com
[RA-L Submission] "360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance" by Shreyas Kulkarni, Peng Yin, Sebastian Scherer.
Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.
360° Stereo Depth Estimation with Learnable Cost Volume
360 Tools
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
A resource repository for 3D machine learning
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
3D-RecGAN in Tensorflow (ICCV Workshops 2017)
Three-dimensional Scene Reconstruction with Generative Adversarial Networks
This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.
A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method
3D Indoor furniture parsing. Segments the front face of a furniture item into more useful functional elements such as door, drawers and shelves.
This is the official website of our work 3D Appearance Super-Resolution with Deep Learning published on CVPR2019.
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
Single Image 3D Interpreter Network
Point cloud classification in Real-time using 3DmFV representation and CNNs
Modeling 3D Shapes by Reinforcement Learning.
[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
Final Project for EECS/NAVARCH 568 (Mobile Robotics)
Advanced implementation of LOAM
Official implementation of the paper A-Scan2BIM: Assistive Scan to Building Information Modeling
Code for "A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation"
Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV2021).
Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
The code for AACVP-MVSNet
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.