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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kkanshul/finegan
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
https://github.com/knurpsbram/autovc_wavenetvocoder_griffinlim_experiments
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/kohillyang/mx-detection
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/koi953215/NaRCan
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
https://github.com/koles289/udacity-Image-Captioning
https://github.com/kolkir/coarse_loftr_trt
LoFTR: Detector-Free Local Feature Matching with Transformers
https://github.com/komiya-m/MirrorGAN
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
https://github.com/kornia/kornia
https://github.com/kousw/experimental-consistory
https://github.com/kramer99/neural-style-transfer
https://github.com/krantirk/py-faster-rcnn
https://github.com/krishnac7/OpenPose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/kritiksoman/GIMP-ML
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/krutikabapat/Deep-Learning-based-OpenPose-Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ksivaman/super-res
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ktho22/vctts
Emotional Voice Conversion using Multitask Learning with Text-to-speech
https://github.com/ktoyod/rotatedpose
Post-Data Augmentation to Improve Deep Pose Estimation of Extreme and Wild Motions
https://github.com/ku2482/vae.pytorch
https://github.com/kukby/Mish-semantic-segmentation-pytorch
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/kumnikhil/christmAIs_replica
https://github.com/kunjan-mhaske/Image-super-resolution-model-using-4-layers-CNN-from-PyTorch
https://github.com/kunzhou9646/mixed_emotions
https://github.com/kvsnoufal/neural_style_transfer
https://github.com/kwai-kolors/kolors
Learning Multi-dimensional Human Preference for Text-to-Image Generation
https://github.com/kwantommy/breast-cancer-diagnosis
https://github.com/kyegomez/CM3Leon
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
https://github.com/kynk94/TF2-Image-Generation
https://github.com/kyuer/language-style-transfer
https://github.com/kzkymur/transition
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/l13025816/PGCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/l3th4l/SuperRes
https://github.com/labmlai/annotated_deep_learning_paper_implementations
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/laion-ai/conditioned-prior
Hierarchical Text-Conditional Image Generation with CLIP Latents
https://github.com/landskape-ai/triplet-attention
https://github.com/laobaiswag/openpose1
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.