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

Showing 276300 of 6689 papers

TitleStatusHype
Towards SFW sampling for diffusion models via external conditioningCode0
Image-Guided Microstructure Optimization using Diffusion Models: Validated with Li-Mn-rich Cathode Precursors0
Unified Continuous Generative ModelsCode2
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning0
Replay-Based Continual Learning with Dual-Layered Distillation and a Streamlined U-Net for Efficient Text-to-Image Generation0
Learning Graph Representation of Agent DiffusersCode0
HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image GenerationCode0
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value DecompositionCode1
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and SegmentationCode2
A Preliminary Study for GPT-4o on Image RestorationCode1
Normalize Everything: A Preconditioned Magnitude-Preserving Architecture for Diffusion-Based Speech Enhancement0
InstanceGen: Image Generation with Instance-level InstructionsCode2
Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion ModelsCode0
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis0
Does CLIP perceive art the same way we do?0
Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation0
PIDiff: Image Customization for Personalized Identities with Diffusion Models0
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers0
Efficient Flow Matching using Latent Variables0
Unmasking the Canvas: A Dynamic Benchmark for Image Generation Jailbreaking and LLM Content Safety0
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction0
CRAFT: Cultural Russian-Oriented Dataset Adaptation for Focused Text-to-Image Generation0
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion0
Defining and Quantifying Creative Behavior in Popular Image Generators0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified