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 14511475 of 6689 papers

TitleStatusHype
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan DesignCode1
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesCode1
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model AccelerationCode1
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute EditingCode1
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion ModelsCode1
DRAW: A Recurrent Neural Network For Image GenerationCode1
Binary Latent DiffusionCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
Knowledge Distillation in Iterative Generative Models for Improved Sampling SpeedCode1
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed ImagesCode1
DPImageBench: A Unified Benchmark for Differentially Private Image SynthesisCode1
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model StatisticsCode1
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without NoiseCode1
Deep Novel View Synthesis from Colored 3D Point CloudsCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 BenchmarkCode1
Deep Polynomial Neural NetworksCode1
Freestyle Layout-to-Image SynthesisCode1
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image GenerationCode1
Aligning Latent and Image Spaces to Connect the UnconnectableCode1
KDEformer: Accelerating Transformers via Kernel Density EstimationCode1
Image Shape Manipulation from a Single Augmented Training SampleCode1
Bipartite Graph Reasoning GANs for Person Image GenerationCode1
Controlling Style and Semantics in Weakly-Supervised Image GenerationCode1
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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