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Name: PeterZhouSZ
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Name: PeterZhouSZ
Type: User
Implementation of Laplacian Surface Editing from O. Sorkine and D. Cohen-Or.
An implementation of Laplacian mesh editing for Math 290.
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
Implementation of "Large Steps in Inverse Rendering of Geometry"
Code for "LASR: Learning Articulated Shape Reconstruction from a Monocular Video". CVPR 2021.
High-Resolution Image Synthesis with Latent Diffusion Models
Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Towards Learning the Temporal Evolution of Fluid Flow
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
LayerCode: Optical Barcodes for 3D Printed Shapes
Implementation of the paper "Layout Embedding via Combinatorial Optimization"
Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)
Local barycentric coordinates solver
A header-only C++ library for L-BFGS algorithm
Discrete Laplace Beltrami Operator (LBO) and related applications
A C++ library that handles skeleton deformation via linear blend skinning(LBS)
the source code of the paper "Accurate Dynamic SLAM using CRF-basedLong-term Consistency"
End-to-End Wireframe Parsing
Learning High Dynamic Range from Outdoor Panoramas. ICCV 2017
DSO with SIM(3) pose graph optimization and loop closure
[CVPR'21] LEAP: Learning Articulated Occupancy of People https://neuralbodies.github.io/LEAP
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
Code release for "learning to find good correspondences" CVPR 2018
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.