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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/nihaomiao/MICCAI20_SiamParseNet

Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment

https://github.com/nihui/realsr-ncnn-vulkan

https://github.com/nikhilmaram/Show_and_Tell

Show and Tell: A Neural Image Caption Generator

https://github.com/nikhithakarennagari/1311

Mask R-CNN

https://github.com/nikhithakarennagari/Git

Mask R-CNN

https://github.com/nikolinatrudic/Neural-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/nikunj-taneja/accendo

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/nile649/POLY-GAN

Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis

https://github.com/nilseuropa/ros_img2pose

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

https://github.com/ninatu/mood_challenge

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/nish-97v/3D-human-pose-estimation

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

https://github.com/nishimehta/Image_Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/nithishkaviyan/Show-and-Tell-Neural-Network-Image-Caption-Generator-

Show and Tell: A Neural Image Caption Generator

https://github.com/nkolot/GraphCMR

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

https://github.com/nkolot/SPIN

Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop

https://github.com/nlahlaf/Text-Style-Transfer

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/nmichlo/disent

Deep Feature Consistent Variational Autoencoder

https://github.com/nnaisense/conditional-style-transfer

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

https://github.com/nntanaka/Fourier-Analysis-for-Skeleton-based-Action-Recognition

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/nodarsensor/medium-keypoint-autocal

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/noelcodes/Mask_RCNN

Mask R-CNN

https://github.com/nomewang/mcf

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region

https://github.com/notha99y/mean_teacher_domain_adapt

Data Distillation: Towards Omni-Supervised Learning

https://github.com/noufali/VideoML

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

https://github.com/npielawski/pytorch_tiramisu

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/nrupatunga/Fast-Image-Filters

Fast Image Processing with Fully-Convolutional Networks

https://github.com/nsarafianos/Garment3DGen

Garment3DGen: 3D Garment Stylization and Texture Generation

https://github.com/nsourlos/pneumonia_detection

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/nsubbaian/FrequentistML

XGBoost: A Scalable Tree Boosting System

https://github.com/ntia/alignnet

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

https://github.com/ntoussaint/fetalnav

Weakly Supervised Localisation for Fetal Ultrasound Images

https://github.com/ntoussaint/qmedbrowser

Weakly Supervised Localisation for Fetal Ultrasound Images

https://github.com/nupam/GANs-for-Image-enhancement

A Neural Algorithm of Artistic Style

https://github.com/nv-nguyen/pizza

DeepIM: Deep Iterative Matching for 6D Pose Estimation

https://github.com/nvcnet/nvcnet.github.io

NVC-Net: End-to-End Adversarial Voice Conversion

https://github.com/nvidiagameworks/kaolin-wisp

Neural Fields in Visual Computing and Beyond

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.