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 4176–4200 of 6689 papers

TitleStatusHype
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations—0
Ensuring Visual Commonsense Morality for Text-to-Image Generation—0
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation—0
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling—0
Towards NSFW-Free Text-to-Image Generation via Safety-Constraint Direct Preference Optimization—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions—0
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication—0
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory—0
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation—0
Watermarking in Diffusion Model: Gaussian Shading with Exact Diffusion Inversion via Coupled Transformations (EDICT)—0
Key-point Guided Deformable Image Manipulation Using Diffusion Model—0
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining—0
KG-GAN: Knowledge-Guided Generative Adversarial Networks—0
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities—0
KNN-Diffusion: Image Generation via Large-Scale Retrieval—0
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks—0
Towards Photorealistic Colorization by Imagination—0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP—0
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis—0
KPNDepth: Depth Estimation of Lane Images under Complex Rainy Environment—0
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment—0
Towards Practicality of Sketch-Based Visual Understanding—0
ZeroRF: Fast Sparse View 360deg Reconstruction with Zero Pretraining—0
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects—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