https://github.com/yzou2/CBST
공식 코드Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Papers with Code 아카이브
1 Image, 2*2 Stitching
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yzou2/CRST
공식 코드https://github.com/zeconloss/zecon
공식 코드Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
https://github.com/zhangqianhui/SGGAN-tensorflow
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangqianhui/Sawn
공식 코드Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization
https://github.com/zhangqianhui/Sparsely-Grouped-GAN
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangxiaoyu11/omitrans
공식 코드OmiTrans: generative adversarial networks based omics-to-omics translation framework
https://github.com/zhaoyuzhi/childpredictor
공식 코드ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
https://github.com/zhihefang/SN-DCR/tree/main/SN-DCR-main
공식 코드Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation
https://github.com/zhiyuns/UNITPathSSL
공식 코드https://github.com/znxlwm/UGATIT-pytorch
공식 코드https://github.com/zsyzzsoft/co-mod-gan
공식 코드Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
https://github.com/zunzhumu/adaptive-group-wise-interaction-network-for-multimodal-mri-synthesis
공식 코드https://gitlab.com/cian.unibas.ch/diffusion-anomaly
공식 코드https://gitlab.com/nct_tso_public/constructs
공식 코드https://gitlab.com/nct_tso_public/laparoscopic-image-2-image-translation
공식 코드https://huggingface.co/spaces/emc348/faces-through-time
공식 코드https://renkulab.io/gitlab/firat.ozdemir/oadat-evaluate
공식 코드OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
https://github.com/01pooja10/Sketch-to-Shoe
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-134
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-158
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-177
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lresnet100e_ir
https://github.com/2023-MindSpore-1/ms-code-184
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-201
https://github.com/2023-MindSpore-1/ms-code-208
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceAttribute
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/ReIDStrongBaseline
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/resnet50_adv_pruning
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/StarGAN
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/TokenFusion
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/U-GAT-IT
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet34
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet_34
https://github.com/2023-MindSpore-1/ms-code-22
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.