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

https://github.com/icon-lab/pflsynth

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/ika-rwth-aachen/etsi_its_messages

A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View

https://github.com/imkoushik22/Walmart-Hackathon

Deep Residual Learning for Image Recognition

https://github.com/interdigitalinc/featurestyleencoder

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

https://github.com/interestingzhuo/foodretreival

Deep Residual Learning for Image Recognition

https://github.com/isaacschaal/SG_training

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/isheunesutembo/TB-Computer-Aided-Diagnosis-Using-Deep-Learning

Deep Residual Learning for Image Recognition

https://github.com/isrugeek/semcolour

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/itijyou/ademxapp

Deep Residual Learning for Image Recognition

https://github.com/itsss/ganimorph

Improving Shape Deformation in Unsupervised Image-to-Image Translation

https://github.com/itsuki8914/CycleGAN-TF

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/itsuki8914/pix2pix-automaticColorization

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/itsuki8914/starGAN-LSGAN

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

https://github.com/ivankunyankin/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/iver56/automatic-video-colorization

Automatic Temporally Coherent Video Colorization

https://github.com/ivychill/reid

Joint Discriminative and Generative Learning for Person Re-identification

https://github.com/j-nowak/covid-19

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/j-void/ISL_v2v

Everybody Dance Now

https://github.com/j3soon/arxiv-utils

Deep Residual Learning for Image Recognition

https://github.com/jackaduma/CycleGAN-VC2

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/jackyjsy/SGGAN

Segmentation Guided Image-to-Image Translation with Adversarial Networks

https://github.com/jaingaurav3/GAN-Hacks

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/james77777778/keras-image-models

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/jameswang287/Car-Detection

Deep Residual Learning for Image Recognition

https://github.com/janZub-AI/EmotionDetectionVGG

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/janfreyberg/pytorch-revgrad

Unsupervised Domain Adaptation by Backpropagation

https://github.com/jason9693/cycleGAN-tensorflow-v2

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/jayChung0302/DeepFilter

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

https://github.com/jcchiba/kamonData

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

https://github.com/jcchiba/sanseriffontdatasetandmodel

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

https://github.com/jday96314/Kuzushiji

Deep Residual Learning for Image Recognition

https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow

Learning to Detect Fake Face Images in the Wild

https://github.com/jessica3724/Keras_VGG

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/jessiemjones/TF-2.0-Neural-Style-Transfer

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/jhchang/DFDC

FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/jiajunhua/CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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