https://github.com/ibalazevic/lp-ssl
공식 코드Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows
Papers with Code 아카이브
Image-to-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 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/icon-lab/ResViT
공식 코드ResViT: Residual vision transformers for multi-modal medical image synthesis
https://github.com/icon-lab/syndiff
공식 코드Unsupervised Medical Image Translation with Adversarial Diffusion Models
https://github.com/idiap/hourglass_push
공식 코드https://github.com/ika-rwth-aachen/Cam2BEV
공식 코드https://github.com/imcsq/S2OMGAN
공식 코드SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method
https://github.com/imcsq/SMAPGAN
공식 코드SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method
https://github.com/imlixinyang/AGUIT
공식 코드Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
https://github.com/imlixinyang/HiSD
공식 코드Image-to-image Translation via Hierarchical Style Disentanglement
https://github.com/isl-org/PhotorealismEnhancement
공식 코드https://github.com/ispamm/hi2i
공식 코드https://github.com/itsss/img2img_sa
공식 코드Unsupervised Image-to-Image Translation with Self-Attention Networks
https://github.com/ivrl/dsi2i
공식 코드https://github.com/ixarchakos/try-off-anyone
공식 코드https://github.com/jacklangerman/dance
공식 코드https://github.com/jaclyngu/filteredguideddiffusion
공식 코드Filtered-Guided Diffusion: Fast Filter Guidance for Black-Box Diffusion Models
https://github.com/james-oldfield/adv-attribute-disentanglement
공식 코드Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
https://github.com/jampang41/cst-s3d
공식 코드https://github.com/jcy132/Hneg_SRC
공식 코드Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
https://github.com/jesusgf96/broad-unet
공식 코드Broad-UNet: Multi-scale feature learning for nowcasting tasks
https://github.com/jhoffman/cycada_release
공식 코드https://github.com/jiadingcn/geminifusion
공식 코드GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
https://github.com/jiarenchang/facecycle
공식 코드Learning Facial Representations from the Cycle-consistency of Face
https://github.com/jimmy-academia/lasgsa
공식 코드https://github.com/jlianglab/Fixed-Point-GAN
공식 코드https://github.com/jongdory/aldm
공식 코드https://github.com/jonghyunharrylee/pyPCGA
공식 코드https://github.com/joshi-bharat/deep_underwater_localization
공식 코드DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
https://github.com/junleen/Expression-manipulator
공식 코드https://github.com/junyanz/BicycleGAN
공식 코드https://github.com/junyanz/CycleGAN
공식 코드Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
공식 코드Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/kahroba2000/biogan
공식 코드BioGAN: An unpaired GAN-based image to image translation model for microbiological images
https://github.com/kaiizhang/mfa
공식 코드Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation
https://github.com/kaiseem/dar-unet
공식 코드https://github.com/kaminyou/urust
공식 코드Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.