https://github.com/ali-vilab/videocomposer
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Papers with Code 아카이브
Image-to-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/alibaba/EasyCV
https://github.com/alibaba/EasyNLP/tree/master/examples/text2image_generation
https://github.com/alililia/ascend_FaceAttribute
https://github.com/alililia/ascend_SE-Net
https://github.com/alililia/ascend_U-GAT-IT
https://github.com/alililia/ms_contrib/tree/main/ascend_vgg19
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alililia/ms_contrib/tree/main/gpu_vgg19
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alililia/ms_extend/tree/main/gpu_pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/alililia/ms_extend/tree/main/gpu_resnet
https://github.com/alililia/vision/tree/main/CycleGAN-MS
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/alimohammadiamirhossein/cora
Cora: Correspondence-aware image editing using few step diffusion
https://github.com/alisha17/benchmarks
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alrojo/lasagne_residual_network
https://github.com/alvarobartt/serving-pytorch-models
https://github.com/amamov/vgg16-vs-resnet
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/aman-arya/Any-Body-Can-Dance
https://github.com/aman-garg0001/fruit-classifier
https://github.com/amazon-research/long-short-term-transformer
https://github.com/amazon-science/long-short-term-transformer
https://github.com/ambityga/memsem
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/amdegroot/ssd.pytorch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/amitaydr/Hackaton2018
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/amittiwary42/pix2pix-NNFL
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/amogh7joshi/engagement-detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/amogh7joshi/fer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/amogh7joshi/plant-health-detection
https://github.com/andersoncarlosfs/image_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/andreasveit/densenet-pytorch
https://github.com/andrewowens/multisensory
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/andrijdavid/clinical-brain-interface-2020
https://github.com/angelvillar96/FaceEmoji
https://github.com/anglihust/Unsupervised-vessel-segmentation
https://github.com/anguyen8/sam
https://github.com/anh-nn01/Satellite-Imagery-to-Map-Translation-using-Pix2Pix-GAN-framework
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/anibali/dsnt-pose2d
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.