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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/huangqiusheng/bridgegan

공식 코드

Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation

https://github.com/huawei-noah/noah-research/tree/master/TokenFusion

공식 코드

Multimodal Token Fusion for Vision Transformers

https://github.com/huitangtang/DADA-AAAI2020

공식 코드

Discriminative Adversarial Domain Adaptation

https://github.com/hyperplane-lab/ACL-GAN

공식 코드

Unpaired Image-to-Image Translation using Adversarial Consistency Loss

https://github.com/iamalexkorotin/KernelNeuralOptimalTransport

공식 코드

Kernel Neural Optimal Transport

https://github.com/iamalexkorotin/neuraloptimaltransport

공식 코드

Neural Optimal Transport

https://github.com/iamcreateai/cyclevar

공식 코드

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation

https://github.com/ibalazevic/lp-ssl

공식 코드

Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows

https://github.com/icon-lab/ResViT

공식 코드

ResViT: Residual vision transformers for multi-modal medical image synthesis

https://github.com/icon-lab/syndiff

공식 코드

Unsupervised Medical Image Translation with Adversarial Diffusion Models

https://github.com/ictmcg/dna-det

공식 코드

Deepfake Network Architecture Attribution

https://github.com/idiap/hourglass_push

공식 코드

An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning

https://github.com/ika-rwth-aachen/Cam2BEV

공식 코드

A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View

https://github.com/imcsq/S2OMGAN

공식 코드

SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method

https://github.com/imcsq/SMAPGAN

공식 코드

SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method

https://github.com/imlixinyang/AGUIT

공식 코드

Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning

https://github.com/imlixinyang/HiSD

공식 코드

Image-to-image Translation via Hierarchical Style Disentanglement

https://github.com/isl-org/PhotorealismEnhancement

공식 코드

Enhancing Photorealism Enhancement

https://github.com/ispamm/hi2i

공식 코드

Hypercomplex Image-to-Image Translation

https://github.com/itsss/img2img_sa

공식 코드

Unsupervised Image-to-Image Translation with Self-Attention Networks

https://github.com/ivrl/dsi2i

공식 코드

DSI2I: Dense Style for Unpaired Image-to-Image Translation

https://github.com/ixarchakos/try-off-anyone

공식 코드

TryOffAnyone: Tiled Cloth Generation from a Dressed Person

https://github.com/jacklangerman/dance

공식 코드

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

https://github.com/jaclyngu/filteredguideddiffusion

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Filtered-Guided Diffusion: Fast Filter Guidance for Black-Box Diffusion Models

https://github.com/james-oldfield/adv-attribute-disentanglement

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Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes

https://github.com/jampang41/cst-s3d

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Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation

https://github.com/jcy132/Hneg_SRC

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Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

https://github.com/jesusgf96/broad-unet

공식 코드

Broad-UNet: Multi-scale feature learning for nowcasting tasks

https://github.com/jhoffman/cycada_release

공식 코드

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

https://github.com/jiadingcn/geminifusion

공식 코드

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

https://github.com/jiarenchang/facecycle

공식 코드

Learning Facial Representations from the Cycle-consistency of Face

https://github.com/jimmy-academia/lasgsa

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Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack

https://github.com/jlianglab/Fixed-Point-GAN

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Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

https://github.com/jongdory/aldm

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Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study

https://github.com/jonghyunharrylee/pyPCGA

공식 코드

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks

https://github.com/joshi-bharat/deep_underwater_localization

공식 코드

DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.