SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

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Showing 2576–2600 of 6689 papers

TitleStatusHype
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields—0
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection—0
Anysize GAN: A solution to the image-warping problem—0
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches—0
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images—0
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance—0
CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery—0
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer—0
AnyScene: Customized Image Synthesis with Composited Foreground—0
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation—0
CAGAN: Text-To-Image Generation with Combined Attention GANs—0
CAFLOW: Conditional Autoregressive Flows—0
Adversarial Attacks on Image Generation With Made-Up Words—0
HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer—0
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships—0
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances—0
DiffusionBlocks: Blockwise Training for Generative Models via Score-Based Diffusion—0
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling—0
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models—0
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler—0
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status—0
CacheQuant: Comprehensively Accelerated Diffusion Models—0
Cache Me if You Can: Accelerating Diffusion Models through Block Caching—0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified