https://github.com/Nirav-Agarwal/GANs
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
1 Image, 2*2 Stitching
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Nisnab/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/NiteshBharadwaj/adaptsegnet-materials
Learning to Adapt Structured Output Space for Semantic Segmentation
https://github.com/NitishaS-812k/Monet-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NiucunCode/Deep-Learning-proj2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Niwhskal/SRNet
https://github.com/Novemser/deep-imitation
https://github.com/Nyn-ynu/MCD
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
https://github.com/OFRIN/Tensorflow_Pixel2Pixel
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/OlafenwaMoses/Action-Net
https://github.com/OlafenwaMoses/IdenProf
https://github.com/OlafenwaMoses/Traffic-Net
https://github.com/Olayemiy/Image-Classification-With-Resnet
https://github.com/Omkar-Ranadive/Domain-Adaptation-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Our4514/CAGFUZZ
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/PDEUXA/AIF_CYCLEGAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PPPrior/i3d-pytorch
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter04
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter06
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/PaddlePaddle/PaddleClas
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/PaddlePaddle/PaddleDetection
https://github.com/PaddlePaddle/PaddleSpeech
https://github.com/Pavan-pk/ArtGan_Realism
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Pengxiao-Wang/Typeface-and-Font-Style-Transfer
https://github.com/PeteXC/Transfer-Learning
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
https://github.com/PieterBijl/Group28
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PolyArch/fp-diannao
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/PracNeyman/attention_guided_img_trans
https://github.com/PramuPerera/In2I
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
https://github.com/Proxim123/person-reID-No1-
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/PuchatekwSzortach/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Punakshi/Deep-Residual-Learning-for-Image-Recognition-Implementation
https://github.com/Puzer/stylegan-encoder
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/QXL4515/CAGFuzz
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Qi-Xian/color-transfer_HW1
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/RAGHAV2998/Everybody-Can-Dance-Now-Video-game-version-
Image-to-Image Translation with Conditional Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.