https://github.com/GH3927/CycleGAN-applied-to-cranes
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
1 Image, 2*2 Stitching
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GH3927/Pix2Pix-applied-to-cranes
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/GH3927/pix2pix_linemod_duck
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/GKalliatakis/Keras-VGG16-places365
https://github.com/GabrieleMonte/CoMBInE
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Gintasp/xgan
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
https://github.com/GiovanniPasq/DA-Faster-RCNN
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/GiuliaLanzillotta/exercises
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Glp91/fire-detection
https://github.com/Godot-yry/VGG16_mindspore
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Gojay001/toolkit-DeepLearning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Gothos/BK-SDM
BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
https://github.com/GrahamRigby/GauGanPlus
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/Graylab/deepH3-distances-orientations
https://github.com/HHTseng/video-classification
https://github.com/Ha0Tang/ASGAN
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
https://github.com/Ha0Tang/HandGestureRecognition
https://github.com/Ha0Tang/LocalGlobalGAN
https://github.com/Halesu/4th-ML100Days
https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Harry-Muzart/harry-muzart.github.io
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/HazemLahoual/Project-Machine-Learning
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Henrygwb/conditional-domine-transfer-network
https://github.com/HiGal/Domain-Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
https://github.com/HongguLiu/MesoNet.Pytorch
https://github.com/HsinYingLee/MDMM
Diverse Image-to-Image Translation via Disentangled Representations
https://github.com/HyelinNAM/ContrastiveDenoisingScore
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
https://github.com/IBM/NeuronAlignment
https://github.com/IMvision12/keras-vision-models
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/INOS-soft/AI
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/INOS-soft/Bro-coil
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/INOS-soft/KuE.electo-waffle
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/INOS-soft/Python-Tools
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ImagingLab/Colorizing-with-GANs
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/InterDigitalInc/Latent-Transformer
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/JContro/pytorch_projects
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.