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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ddcas/p2gan-pytorch
P$^2$-GAN: Efficient Style Transfer Using Single Style Image
https://github.com/debjani-bhowmick/harmonic-net-pytorch
https://github.com/deciding/StarGAN-VC
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
https://github.com/dectrfov/NTIRE-2021-Depth-Guided-Image-Any-to-Any-relighting
https://github.com/dedekinds/The-Color-Transfer-of-Animes-Characters-Images
https://github.com/deep-floyd/if
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
https://github.com/deepBear6/StyleTransfer
https://github.com/deepak112/Keras-SRGAN
https://github.com/deepdeepdot/FastPhotoStyle
https://github.com/deepeshdm/Neural-Style-Transfer
https://github.com/deeplabcut/madlc_naturemethods2022
https://github.com/deepmind/graphcast
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
https://github.com/deepmodeling/Uni-Mol
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
https://github.com/deforum/stable-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/delirecs/facial-keypoints-heatmaps
https://github.com/delldu/MaskRCNN
https://github.com/demegire/Parameterization-of-Hypercomplex-Multiplications
https://github.com/denilson020898/baseline_3d_pose
A simple yet effective baseline for 3d human pose estimation
https://github.com/deolipankaj/Stone_Detection_MRCNN
https://github.com/deterministic-algorithms-lab/Speech-Explorations
https://github.com/devAmoghS/Keras-Style-Transfer
https://github.com/devsoft123/fast-cnn
https://github.com/dgedon/CycleGAN-for-Emojis
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dhassault/cyclegan_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dhchoi99/NANSY
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
https://github.com/dheerajpreddy/CenterNet-without-DCN
https://github.com/dhirajpatnaik16297/IMG-TXT-Generative-Adversarial-Network
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
https://github.com/dhruv-arcot/Style_transfer
https://github.com/dhryougit/afm
https://github.com/dhryougit/learning-to-translate-noise
https://github.com/diamondto/IBP
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
https://github.com/digital-thinking/deep-posemachine
https://github.com/dineshreddy91/Occlusion_Net
https://github.com/dipjyoti92/StarGAN-Voice-Conversion
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
https://github.com/dipjyoti92/StarGAN-Voice-Conversion-2
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.