图像到图像翻译
Image-to-Image Translation 是计算机视觉与机器学习领域的一项任务,旨在学习输入图像与输出图像之间的映射关系,以实现特定目标,如风格迁移、数据增强或图像修复。该任务通过构建复杂的模型,能够有效转换图像的视觉属性,提升图像处理的多样性和灵活性,具有广泛的应用价值。
SYNTHIA-to-Cityscapes
GTAV-to-Cityscapes Labels
ResNet101 65.1
Cityscapes Labels-to-Photo
pix2pix
ADE20K Labels-to-Photos
CoCosNet
COCO-Stuff Labels-to-Photos
PITI
ADE20K-Outdoor Labels-to-Photos
CoCosNet
IXI
ResViT
CelebA-HQ
StarGAN v2
Cityscapes-to-Foggy Cityscapes
MIC
cat2dog
U-GAT-IT
Cityscapes Photo-to-Labels
pix2pix
BCI
pyramidpix2pix
FLIR
horse2zebra
CycleGANAS
LLVIP
RaFD
StarGAN
selfie2anime
GNR
photo2vangogh
U-GAT-IT
vangogh2photo
U-GAT-IT
zebra2horse
CycleGAN
Aerial-to-Map
cGAN
AFHQ
StarGAN v2
anime-to-selfie
FQ-GAN
Deep-Fashion
CoCosNet
Object Transfiguration (sheep-to-giraffe)
InstaGAN
selfie-to-anime
FQ-GAN
SYNTHIA Fall-to-Winter
CyCADA
2017_test set
ADE-Indoor Labels-to-Photo
SB-GAN
AFHQ (Cat to Dog)
AFHQ (Wild to Dog)
EGSDE
Apples and Oranges
BRATS
dog2cat
KITTI Object Tracking Evaluation 2012
SRNet
photo2portrait
U-GAT-IT
portrait2photo
Zebra and Horses
Shared discriminator GAN