https://github.com/T-C-J/GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
Image-to-Image Translation
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- 평가표
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- 보존된 평가 기록
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Image-to-Image Translation is a task in computer vision and machine learning where the goal is to learn a mapping between an input image and an output image, such that the output image can be used to perform a specific task, such as style transfer, data augmentation, or image restoration.
<span style="color:grey; opacity: 0.6">( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/T-C-J/shuiying
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/TAMU-VITA/AGD
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
https://github.com/TJJTJJTJJ/pytorch_CycleGAN_frame
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/TanyaChutani/Pix2pix-Tf2.x
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Taoudi/LotteryTicketHypothesis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Taoudi/Monet-ization-of-Images
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ThanasisMattas/smartflow
https://github.com/Thehunk1206/Covid-19-chest-X-ray
https://github.com/Thehunk1206/Covid-19-covidcnn
https://github.com/Tian-Jiang/ModularGAN
https://github.com/Tinysqua/VTGAN-pytorch-version
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
https://github.com/Tools4Project/4501Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/TowardHumanizedInteraction/TripletFace
https://github.com/UBC-Computer-Vision-Group/DwNet
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/UKPLab/coling18-multimodalSurvey
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/UdbhavPrasad072300/GANs-Implementations
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/UdonDa/StarGAN-v2-pytorch-nonofficial
https://github.com/UnofficialJuliaMirror/DeepMark-deepmark
https://github.com/UnofficialJuliaMirrorSnapshots/DeepMark-deepmark
https://github.com/Vakihito/SentimentYoutube
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Vamshi399/CarND-Vehicle-Detection
https://github.com/VamsiKrishna1211/gender_age-detection
https://github.com/VedantDere0104/CoMo_GAN
https://github.com/VedantDere0104/Cycle_GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/VedantDere0104/Pix2Pix_GAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/VhalPurohit/290s
https://github.com/VinayBN8997/ResNet-CIFAR10
https://github.com/Vious/LBAM_Pytorch
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/VisiumCH/AMLD2020-Dirty-Gancing
https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet
https://github.com/Vivswan/ECE-3195-Course-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/VladAndronik/shadow-gans
https://github.com/Vladislav-IS/dls_project_pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/VyshnaviSK/Face2Mask-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Wanger-SJTU/FCN-in-the-wild
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.