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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lucidrains/muse-pytorch
Muse: Text-To-Image Generation via Masked Generative Transformers
https://github.com/lucidrains/musiclm-pytorch
https://github.com/lucidrains/nuwa-pytorch
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion
https://github.com/lucidrains/parti-pytorch
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
https://github.com/lucidrains/phenaki-pytorch
https://github.com/lucidrains/soft-moe-pytorch
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
https://github.com/lucidrains/soundstorm-pytorch
https://github.com/lucidrains/uformer-pytorch
Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/lucidrains/vector-quantize-pytorch
https://github.com/lucidrains/voicebox-pytorch
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
https://github.com/luciennnnnnn/dualformer
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/lucylow/Stochastic_SoundCloud
https://github.com/lucylow/salty-wet-man
https://github.com/lugiavn/transformation-transferring
Let's Transfer Transformations of Shared Semantic Representations
https://github.com/lukeandshuo/IR2VI_journal
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/lukeditria/cnn-vae
https://github.com/lukemelas/realfusion
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
https://github.com/lukewys/coconet-pytorch
https://github.com/lukoucky/image_recommendation
https://github.com/lwxGitHub123/openpose
https://github.com/lwxGitHub123/openpose20200610
https://github.com/lxy5513/Multi-Style-Transfer
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/lye0618/torchdiffeq
https://github.com/lyonling/pix2pix
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/lyp-deeplearning/awesome-retinal-registration
https://github.com/lyqcom/alphapose
https://github.com/lzccccc/3d-bounding-box-estimation-for-autonomous-driving
https://github.com/lzfff12/hfl-net
https://github.com/m-parchami/3DVehicleDetection
https://github.com/m-qiang/cortexode
https://github.com/machc/spherical_embeddings
https://github.com/mahdip72/InstructPix2Pix
InstructPix2Pix: Learning to Follow Image Editing Instructions
https://github.com/mahinanwar/Art-Generation-With-Neural-Style-Transfer
https://github.com/mahmoudnafifi/11K-Hands
11K Hands: Gender recognition and biometric identification using a large dataset of hand images
https://github.com/makcedward/nlpaug
Mel-spectrogram augmentation for sequence to sequence voice conversion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.