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/cszn/scunet
공식 코드Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
https://github.com/cv-rits/CoMoGAN
공식 코드https://github.com/cv-rits/manifest
공식 코드ManiFest: Manifold Deformation for Few-shot Image Translation
https://github.com/cx921003/UPG-GAN
공식 코드https://github.com/cyang-cityu/MetaCorrection
공식 코드https://github.com/cyclomon/3dbraingen
공식 코드Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
https://github.com/cyclomon/unsb
공식 코드Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
https://github.com/cyq373/ZUNIT
공식 코드https://github.com/damo-vilab/composer
공식 코드Composer: Creative and Controllable Image Synthesis with Composable Conditions
https://github.com/danivelikova/cactuss
공식 코드https://github.com/davidelobba/TEMU-VTOFF
공식 코드Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
https://github.com/dbash/pix2pix_cyclegan_guess_noise
공식 코드https://github.com/dengpingfan/fsgan
공식 코드https://github.com/devavratTomar/sasan
공식 코드Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
https://github.com/dlr-mi/atme
공식 코드https://github.com/dqiaole/flowdiffusion_pytorch
공식 코드Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation
https://github.com/dreamtalecore/scs-uit
공식 코드Separating Content and Style for Unsupervised Image-to-Image Translation
https://github.com/duxingren14/DualGAN
공식 코드DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
https://github.com/dylanauty/objcavit
공식 코드https://github.com/ecnuycxie/DG-Font
공식 코드DG-Font: Deformable Generative Networks for Unsupervised Font Generation
https://github.com/edervishaj/ganmf
공식 코드https://github.com/egshkim/ConditionalBBDM-for-VHR-SAR-to-Optical
공식 코드Conditional Brownian Bridge Diffusion Model for VHR SAR to Optical Image Translation
https://github.com/eitanrich/lin-im2im
공식 코드The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
https://github.com/ekcole/unsupGAN-release
공식 코드Unsupervised MRI Reconstruction with Generative Adversarial Networks
https://github.com/eladrich/pixel2style2pixel
공식 코드Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/eliahuhorwitz/DeepSIM
공식 코드Image Shape Manipulation from a Single Augmented Training Sample
https://github.com/engrjavediqbal/MLSL
공식 코드https://github.com/explainableml/uncertaintyawarecycleconsistency
공식 코드https://github.com/facebookresearch/vsait
공식 코드Unpaired Image Translation via Vector Symbolic Architectures
https://github.com/fei-hdu/sRender
공식 코드Bridging Unpaired Facial Photos And Sketches By Line-drawings
https://github.com/feipan664/IntraDA
공식 코드Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
https://github.com/fergaletto/mssr
공식 코드A deep learning approach for marine snow synthesis and removal
https://github.com/fordevoted/uiess
공식 코드Domain Adaptation for Underwater Image Enhancement via Content and Style Separation
https://github.com/fpramunno/MAG2MAG
공식 코드Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution
https://github.com/fpv-iplab/DA-RetinaNet
공식 코드An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.