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Yixin Zhuang (yixin26)

yixin26

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Company:Fuzhou University

Location:Fuzhou

Home Page:yixin26.github.io

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Yixin Zhuang's starred repositories

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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pix2pix

Image-to-image translation with conditional adversarial nets

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awesome_3DReconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

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SAGNet

Structure-aware Generative Network for 3D-Shape Modeling (SIGGRAPH 2019)

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tiny-dnn

header only, dependency-free deep learning framework in C++14

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

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MVision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

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graph

Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

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numpy-ml

Machine learning, in numpy

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autograd

Efficiently computes derivatives of numpy code.

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EfficientResearchWork

Efficient research work environment setup for computer science and general workflow for Deep Learning experiments

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RelativePose

Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion

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3D-PRNN

Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"

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mesh-voxelization

C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.

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AtlasNet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

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TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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3dgan-release

3D Generative Adversarial Network

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SoftRas

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

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Pixel2Mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

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SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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grass_pytorch

PyTorch Implementation of GRASS

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3D-R2N2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

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RenderNet

Code for RenderNet: A deep convolutional network for differentiable rendering from 3D shapes

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3D-Machine-Learning

A resource repository for 3D machine learning

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multichart3dgans

Official implementation of "Multi-chart Generative Surface Modeling", SIGGRAPH Asia 2018

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deep_marching_cubes

Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018

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implicit-decoder

The code for paper "Learning Implicit Fields for Generative Shape Modeling".

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