https://github.com/georg-wolflein/hoechstgan
Image-to-Image Translation with Conditional Adversarial Networks
Papers with Code 아카이브
Image-to-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 11
- 평가표
- 38
- 보존된 평가 기록
- 195
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/gerardoglz/GANs
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ginn24/RefineDet-1
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gitlimlab/Representation-Learning-by-Learning-to-Count
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/glouppe/info8010-deep-learning
https://github.com/godwinrayanc/YOLOv1-Pytorch
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/gopi-kampli/ImageClusteringDL
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gpleiss/limits_of_large_width
https://github.com/gpspelle/Crowd-Counting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/griffinbran/machines_best_friend
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gundeep15/SCD_AI_Project
https://github.com/gunpowder1473/CycleGan_Tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/gunpowder1473/CycyleGan_Tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/guptag22/uic-cs512-project
https://github.com/gurkirt/realtime-action-detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/guy-oren/DIRT-OST
Diverse Image-to-Image Translation via Disentangled Representations
https://github.com/guy-oren/OneShotTranslationExt
https://github.com/haaz77/keras-tutorials
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/hahahappyboy/GANForCartoon
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/hanq0212/IIAE-Pytorch
Variational Interaction Information Maximization for Cross-domain Disentanglement
https://github.com/hansam95/nmg
https://github.com/hanzhaoml/mdan
https://github.com/hao-qiang/GANimation-tf
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/haonanguo/remote-sensing-chatgpt
https://github.com/happen2me/adda_pytorch
https://github.com/happy-jihye/Cartoon-StyleGAN
https://github.com/haratzouvara/image_restoration
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/hariv/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/harsh-99/SCL
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/harshitbhushan68/Pix-2-Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/harshm121/m3l
https://github.com/haru-256/pix2pixHD.pytorch
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/harunshimanto/Neural-Style-Transfer-of-Artistic-Style
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/hcholab/k-salsa
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.