Neng Shi (trainsn)

trainsn

Geek Repo

Company:The Ohio State University

Location:786 Dreese Lab, 2015 Neil Avenue, Columbus

Home Page:trainsn.github.io

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Neng Shi's repositories

ADS

code for ADS in ZJU in 2017

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caffe-render-for-cnn-view_prediction

caffe version for Render for CNN

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ComputerGraphics

code for assighment of computer graphics in ZJU in 2016

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CSE_5542

Code for OSU CSE 5542 - Real Time Rendering

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Deep-Exemplar-based-Colorization

The source code of "Deep Exemplar-based Colorization".

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NumericalAnalysis

code for assignment of Numerical Analysis course in 2017 in ZJU

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TSR-TVD

Pytorch implementation for "TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization"

VolumeRayCasting

Volume ray casting in WebGL 2.

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WebGLVolumeRendering

WebGL Volume Rendering made easy

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caffe-extract-features

caffe for feature extracting

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cnn-vp-estimation-analysis

analysis code for CNNs based viewpoint estimation

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cnn-vp-estimaton

for Cnn based viewpoint estimation for volume vis

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CS224n-Assignment

Assignment of Stanford CS224n - Natural Language Processing with Deep Learning

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cs231n

This is the code for assignments of cs231n

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CSE_6431_restaurant

CSE 6431, Au 2019 - Programming Assignment

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cuda-learning

Assignments during learning cuda.

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Deep-Image-Analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

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IsosurfaceSuperresolution

Source code for the TVCG paper "Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution"

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multi-modal-regression

Models and Loss functions for our Mixed Classification-Regression framework for 3D Pose Estimation

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NST_VF

Style transfer for vector field

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OS

code for OS Course in ZJU in 2017

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pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

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PyTorch-Tutorial

Build your neural network easy and fast

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tempoGAN

Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"

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tensorflow-style-transfer

A simple, concise tensorflow implementation of style transfer (neural style)

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tf-gqn

Tensorflow implementation of Neural Scene Representation and Rendering

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tfgan

Building generative models for synthesizing and analyzing volume-rendered images

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