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 27762800 of 6689 papers

TitleStatusHype
Learning Graph Representation of Agent DiffusersCode0
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold NetworkCode0
Multivariate rank via entropic optimal transport: sample efficiency and generative modelingCode0
FIGR: Few-shot Image Generation with ReptileCode0
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image SynthesisCode0
Learning Hierarchical Semantic Image Manipulation through Structured RepresentationsCode0
FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback NetworkCode0
ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual ReasoningCode0
Learning Disentangled Discrete RepresentationsCode0
LEAD: Min-Max Optimization from a Physical PerspectiveCode0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Learn, Imagine and Create: Text-to-Image Generation from Prior KnowledgeCode0
Few-shot Image Generation with Diffusion ModelsCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
Layton: Latent Consistency Tokenizer for 1024-pixel Image Reconstruction and Generation by 256 TokensCode0
Few-shot Image Generation via Masked DiscriminationCode0
A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity MetricsCode0
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image GenerationCode0
GeoGuide: Geometric guidance of diffusion modelsCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption GenerationCode0
Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image GenerationCode0
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object IntegrationCode0
Controllable Textual Inversion for Personalized Text-to-Image GenerationCode0
Layered Rendering Diffusion Model for Controllable Zero-Shot Image SynthesisCode0
Show:102550
← PrevPage 112 of 268Next →

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