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 126150 of 6689 papers

TitleStatusHype
ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual ReasoningCode0
Backbone Augmented Training for Adaptations0
Is Perturbation-Based Image Protection Disruptive to Image Editing?0
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation0
Solving Inverse Problems with FLAIR0
Hyperspectral Image Generation with Unmixing Guided Diffusion Model0
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models0
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and GenerationCode4
Rethinking Machine Unlearning in Image Generation ModelsCode1
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models0
PointT2I: LLM-based text-to-image generation via keypoints0
Ultra-High-Resolution Image Synthesis: Data, Method and EvaluationCode3
Unlocking Aha Moments via Reinforcement Learning: Advancing Collaborative Visual Comprehension and Generation0
A 2-Stage Model for Vehicle Class and Orientation Detection with Photo-Realistic Image Generation0
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models0
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species GenerationCode0
Image Generation from Contextually-Contradictory Prompts0
OG-VLA: 3D-Aware Vision Language Action Model via Orthographic Image Generation0
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free0
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary0
ComposeAnything: Composite Object Priors for Text-to-Image Generation0
GenSpace: Benchmarking Spatially-Aware Image Generation0
Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields0
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
Category-aware EEG image generation based on wavelet transform and contrast semantic lossCode0
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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