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 36013650 of 6689 papers

TitleStatusHype
Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation0
BADM: Batch ADMM for Deep Learning0
Efficient Personalized Text-to-image Generation by Leveraging Textual SubspaceCode0
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented InterventionCode0
Toward a Diffusion-Based Generalist for Dense Vision Tasks0
Wavelets Are All You Need for Autoregressive Image Generation0
PopAlign: Population-Level Alignment for Fair Text-to-Image GenerationCode0
Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models0
How Stable is Stable Diffusion under Recursive InPainting (RIP)?0
Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback0
DiffLoss: unleashing diffusion model as constraint for training image restoration networkCode0
MultiDiff: Consistent Novel View Synthesis from a Single Image0
VDG: Vision-Only Dynamic Gaussian for Driving Simulation0
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data0
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification0
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing0
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models0
Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds0
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation0
ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance0
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion ModelsCode0
Repulsive Latent Score Distillation for Solving Inverse ProblemsCode0
Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature EnhancementCode0
EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation0
Disability Representations: Finding Biases in Automatic Image Generation0
Backdooring Bias into Text-to-Image ModelsCode0
Latent diffusion models for parameterization and data assimilation of facies-based geomodels0
Video Generation with Learned Action Prior0
Holistic Evaluation for Interleaved Text-and-Image Generation0
CollaFuse: Collaborative Diffusion ModelsCode0
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps0
What's Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design0
Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PETCode0
Training Diffusion Models with Federated Learning0
Generative Visual Instruction TuningCode0
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models0
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image GenerationCode0
PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models0
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes0
ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models0
Decomposed evaluations of geographic disparities in text-to-image models0
Mixture-of-Subspaces in Low-Rank AdaptationCode0
An Analysis on Quantizing Diffusion Transformers0
MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and GenerationCode0
Poetry2Image: An Iterative Correction Framework for Images Generated from Chinese Classical Poetry0
Can Generative AI Replace Immunofluorescent Staining Processes? A Comparison Study of Synthetically Generated CellPainting Images from Brightfield0
Crafting Parts for Expressive Object Composition0
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels0
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation0
Batch-Instructed Gradient for Prompt Evolution:Systematic Prompt Optimization for Enhanced Text-to-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