monaen Goto Github PK

lfssr-sas-pytorch

light-field-information

Light Field

light-field-roadmap

Light-field Roadmap and Resources

lightfieldreconstruction

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

lightgan

This repository is established to store the LightGAN project

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

llff

Code release for Local Light Field Fusion at SIGGRAPH 2019

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

lucid

A collection of infrastructure and tools for research in neural network interpretability.

marvelchina

marvelchina

meta-learning

Learning schedule for meta learning and few shot learning

monaen.github.io

For work

monocular-depth-estimation

mwcnnv2

Multi-level Wavelet Convolutional Neural Networks

naenmong

My website

netron

Visualizer for neural network, deep learning, and machine learning models

nvm

Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions

openrefocus

In order to observe targets in expanded depths of view in light field imaging, we design an open source light field parallel refocusing Qt GUI software named OpenRefocus, which is based on classical spatial projection integration.

ordsr

An implementation of ORDSR

photo-realistic-super-resoluton

Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

physennet

Code for physics-enhanced deep neural network (PhysenNet).

pretrained-ipt

privacydecisiontree

Privacy Decesion Tree Algorithm

quanta-image-sensor-based-resources

researchresources

This repository

rough

Create graphics with a hand-drawn, sketchy, appearance

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semseg

常用的语义分割架构结构综述以及代码复现

sfnd

【优达学城】【传感器融合】【练习及项目代码】

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods