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 27512800 of 6689 papers

TitleStatusHype
CoPE: Conditional image generation using Polynomial ExpansionsCode0
Learning Texture Manifolds with the Periodic Spatial GANCode0
Learning Stationary Markov Processes with Contrastive AdjustmentCode0
AutoGAN: Neural Architecture Search for Generative Adversarial NetworksCode0
Neural Wireframe Renderer: Learning Wireframe to Image TranslationsCode0
Coordinate-based Texture Inpainting for Pose-Guided Image GenerationCode0
Learning Partonomic 3D Reconstruction from Image CollectionsCode0
Learning Portrait Style RepresentationsCode0
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial NetworksCode0
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph GenerationCode0
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial NetworkCode0
Fine-grained Forecasting Models Via Gaussian Process Blurring EffectCode0
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly DetectionCode0
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingCode0
Learning to Generate with MemoryCode0
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image SynthesisCode0
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical InsightsCode0
Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image GenerationCode0
Auto-Embedding Generative Adversarial Networks for High Resolution Image SynthesisCode0
Learning monocular depth estimation infusing traditional stereo knowledgeCode0
Co-occurrence Based Texture SynthesisCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasetsCode0
Learning Generative Models of Tissue Organization with Supervised GANsCode0
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold NetworkCode0
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
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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