https://github.com/xiaoachen98/DDB
공식 코드Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
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/xiaohu-zheng/deep-mc-qr
공식 코드https://github.com/xinario/awesome-gan-for-medical-imaging
공식 코드https://github.com/xjqicuhk/SIMS
공식 코드https://github.com/xjtu-xgu/kpg-rl
공식 코드https://github.com/xjtu-xgu/otcs
공식 코드Optimal Transport-Guided Conditional Score-Based Diffusion Models
https://github.com/xuekt98/bbdm
공식 코드BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
https://github.com/yamand16/ear2face
공식 코드https://github.com/yandex-research/navigan
공식 코드Navigating the GAN Parameter Space for Semantic Image Editing
https://github.com/yaxingwang/DeepI2I
공식 코드DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
https://github.com/yaxingwang/SDIT
공식 코드https://github.com/yaxingwang/SEMIT
공식 코드Semi-supervised Learning for Few-shot Image-to-Image Translation
https://github.com/yeshaokai/Calibrator-Domain-Adaptation
공식 코드Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
https://github.com/ygjwd12345/GLANet
공식 코드Global and Local Alignment Networks for Unpaired Image-to-Image Translation
https://github.com/yhlleo/DWC-GAN
공식 코드Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
https://github.com/yhlleo/GMM-UNIT
공식 코드https://github.com/yhlleo/RG-UNIT
공식 코드Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
https://github.com/yhlleo/stylegan-mmuit
공식 코드ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
https://github.com/yhsong98/ct-us-i2i-translation
공식 코드https://github.com/yigitgunduc/tensor-to-image
공식 코드Tensor-to-Image: Image-to-Image Translation with Vision Transformers
https://github.com/yigitgunduc/vit-gan
공식 코드Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANS
https://github.com/yikaiw/CEN
공식 코드https://github.com/yikaiw/TokenFusion
공식 코드https://github.com/yilmazkorkmaz1/i2i-galip
공식 코드I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP
https://github.com/yixuan423/fakebench
공식 코드FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
https://github.com/ykykyk112/STIG
공식 코드https://github.com/yongqyu/TCN
공식 코드https://github.com/youyuge34/PI-REC
공식 코드PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
https://github.com/yueatsprograms/uda_release
공식 코드https://github.com/yuhuayc/da-faster-rcnn
공식 코드Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/yunyanxing/pairwise_xray_augmentation
공식 코드Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
https://github.com/yuval-alaluf/SAM
공식 코드Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/yuval-alaluf/restyle-encoder
공식 코드ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
https://github.com/yuxinn-j/scenimefy
공식 코드Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
https://github.com/yuyangxueed/reconunlearning
공식 코드Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
https://github.com/yxgong0/STIG
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.