Papers with Code 아카이브
Conditional Image Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 11
- 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/WGLab/SGAN
https://github.com/WuChenshen/MeRGAN
https://github.com/XHChen0528/SNGAN_Projection_Pytorch
https://github.com/XiafeiYu/DCGAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/Xiaomao136/stylegan2-faceswap
https://github.com/XieBaoshi/stylegan2
https://github.com/YuguangTong/improved_wgan_training
https://github.com/Yukino1010/WGAN-GP
https://github.com/ZMpursue/Anime_avatar_generation
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/ZVK/Talking-Heads
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/ZVK/talking_heads
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/Zachdr1/DCGAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/Zachdr1/GANs
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/ZhimingZhou/AM-GAN
https://github.com/a-mcego/stylegannish
https://github.com/abhi8585/GeneratedART-NFT-VISION
https://github.com/addy369/DCGANS
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/adelliax/StyleGAN2
https://github.com/adityabingi/DCGAN-TF2.0
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/adldotori/pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/adler-j/bwgan
https://github.com/aelnouby/Text-to-Image-Synthesis
https://github.com/afiaka87/clip-guided-diffusion
https://github.com/agermanidis/pix2pixHD-runway
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/agupta231/CARROL
https://github.com/ahmed-alllam/Equinox/blob/main/examples/deep_convolutional_gan.ipynb
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/ahmedabdel-hady/Space-Xplores-Nasaspaceapp2020
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/ai-forever/movqgan
https://github.com/aiksir/stylegan2-ada-blending
https://github.com/ajbrock/BigGAN-PyTorch
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/akanimax/attn_gan_pytorch
https://github.com/akanimax/dcgan_pytorch
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/akashgit/stylegan2_wt
https://github.com/akashpalrecha/deblurring-pipeline
https://github.com/akashpalrecha/superres-deformable
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.