https://github.com/weihaox/Multi-Modal-CelebA-HQ-Dataset
Conditional Image Generation and Manipulation for User-Specified Content
Papers with Code 아카이브
Conditional Image Generation
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- 평가표
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- 보존된 평가 기록
- 75
Conditional image generation is the task of generating new images from a dataset conditional on their class.
<span style="color:grey; opacity: 0.6">( Image credit: PixelCNN++ )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/weishenho/SAGAN-with-relativistic
https://github.com/wentao99/pix2pixHD
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/wikibook/keras
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/wilson1yan/VideoGPT
https://github.com/wjdals3406/stylegan2-ada-encoder
https://github.com/wlstyql/Pytorch
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/woctezuma/steam-CLIP
Hierarchical Text-Conditional Image Generation with CLIP Latents
https://github.com/woctezuma/steam-stylegan2-ada
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/woctezuma/stylegan2-projecting-images
https://github.com/wsfreund/decoder-generative-models
https://github.com/xcyan/eccv16_attr2img
Attribute2Image: Conditional Image Generation from Visual Attributes
https://github.com/xingchenzhao/Generating-Human-Skeletons-with-Mutual-Actions-WGAN-Pytorch
A U-Net Based Discriminator for Generative Adversarial Networks
https://github.com/xingchenzhao/deep-learning-team-project
A U-Net Based Discriminator for Generative Adversarial Networks
https://github.com/xiuyu0000/new_papers_codes/tree/main/Pix2PixHD
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/xunings/styleganime2
https://github.com/xx88xx/stylegan2ky
https://github.com/yangyucheng000/MSpaper/tree/main/U-GAT-IT
https://github.com/yangyucheng000/StyleGAN-V2
https://github.com/yanqi1811/self-attention
https://github.com/yashgarg98/GAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/yashwanyne/Robust-Video-Colorization-with-Self-Attention-based-Progressive-Generative-Adversarial-Networks
https://github.com/yashyenugu/Anime-Face-GAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/yaxingwang/DeepI2I
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/yaxingwang/MineGAN
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/yaxingwang/Transferring-GANs
https://github.com/ydataai/ydata-synthetic/tree/master/src/ydata_synthetic/synthesizers/regular/wgangp
https://github.com/yifeiwang77/repgan
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/yjunej/DCGAN-pytorch
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/yuanyuan-yuan/neural-coverage
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/yuepingwang/sngan-projection
https://github.com/yueqianlongma/GAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/yukia18/pytorch
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/yuval-alaluf/restyle-encoder
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/yuzq97/starter_project
https://github.com/yyusuf3d/StyleGAN2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.