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图像生成

图像生成(合成)是从现有数据集中生成新图像的任务。无条件生成指从数据集中无条件地生成样本,即$p(y)$;而有条件生成则是基于标签从数据集中有条件地生成样本,即$p(y|x)$。本节展示无条件生成的最新技术排行榜,其他类型图像生成请参见子任务。图像生成在计算机视觉中具有重要应用价值,能够用于数据增强、艺术创作和虚拟现实等领域。

ImageNet 256x256
Discriminator Guidance
CIFAR-10
GMem
ImageNet 64x64
CTM (NFE 1)
FFHQ 256 x 256
Anycost GAN
ImageNet 512x512
MAGVIT-v2
CelebA 64x64
HDCGAN
ImageNet 32x32
StyleGAN-XL
LSUN Bedroom 256 x 256
StyleGAN (DINOv2)
STL-10
LSUN Churches 256 x 256
BOSS
ImageNet 128x128
ADM-G
FFHQ 1024 x 1024
Efficient-VDVAE
CelebA-HQ 256x256
BOSS
CelebA 256x256
StyleSwin
MNIST
Locally Masked PixelCNN (8 orders)
FFHQ-U
Alias-Free-R
FFHQ
Anycost GAN
CelebA-HQ 1024x1024
StyleSwin
Binarized MNIST
CR-NVAE
CIFAR-100
LeCAM (StyleGAN2 + ADA)
LSUN Cat 256 x 256
Projected GAN
AFHQ Cat
Vision-aided GAN
AFHQV2
Polarity-StyleGAN3
Fashion-MNIST
GLF+perceptual loss (ours)
CelebA-HQ 128x128
COCO-GAN
TextAtlasEval
Cityscapes
GANformer
LSUN Horse 256 x 256
StyleGAN2
AFHQ Dog
Vision-aided GAN
CLEVR
Projected GAN
AFHQ Wild
Vision-aided GAN
Places50
SinDiffusion
CelebA 128x128
U-Net GAN
VLN-CE
CUB 128 x 128
Projected GAN
Pokemon 256x256
StyleGAN-XL
Replica
Stanford Cars
Projected GANs
Stanford Dogs
Projected GAN
ARKitScenes
GAUDI
VizDoom
ObjectsRoom
MetFaces-U
MetFaces
Pokemon 1024x1024
StyleGAN-XL
ShapeStacks
Stacked MNIST
VAEBM
LSUN Bedroom 64 x 64
WGAN-GP + TTUR + Alex-Adam
ADE-Indoor
LSUN Bedroom
StyleGAN
FFHQ 128 x 128
Anycost GAN
CAT 256x256
StyleGAN2 + DA + RLC (Ours)
FFHQ 512 x 512
Anycost GAN
CIFAR-10 (20% data)
DiffAugment-StyleGAN2
CIFAR-10 (10% data)
DiffAugment-StyleGAN2
CelebA-HQ 64x64
COCO-GAN
Oxford 102 Flowers 256 x 256
MSG-StyleGAN
RC-49
cDR-RS
FFHQ 64x64
SiDA-EDM
LSUN Car 512 x 384
Polarity-StyleGAN2
LSUN Bedroom 128 x 128
LadaGAN
iNaturalist 2019
StyeGAN2 + NoisyTwins
AFHQ-v2 64x64
CelebA-HQ 512x512
WaveDiff
CelebA-HQ
DDPM
SDSS Galaxies
Satellite-Landscapes 256 x 256
CIPS
Satellite-Buildings 256 x 256
CIPS
CelebA
Cityscapes-25K 256x512
SB-GAN
25% ImageNet 128x128
LeCAM + DA
Cityscapes-5K 256x512
SB-GAN
NASA Perseverance
EMNIST-Letters
Spiking-Diffusion
Oxford 102 Flowers 128x128
QSNGAN
Indian Celebs 256 x 256
MSG-StyleGAN
Multi-dSprites
GENESIS
FFHQ 64x64 - 4x upscaling
PFGM++
LSUN tower 64x64
DDPM-IP
GQN
ImageNet 256x256 - 1% labeled data
DPT
ImageNet 256x256 - 1 labeled data per class
LSUN Car 256 x 256
StyleGAN2
ImageNet 256x256 - 2 labeled data per class
ImageNet 256x256 - 5 labeled data per class
LSUN
BigGAN + gSR
LLVIP
pix2pix
Landscapes 256 x 256
CIPS
KMNIST