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 30513100 of 6689 papers

TitleStatusHype
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective0
Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment0
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance0
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?Code0
ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts0
3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation0
GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations0
WEM-GAN: Wavelet transform based facial expression manipulation0
FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation0
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis0
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication0
Hierarchical VAE with a Diffusion-based VampPriorCode0
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models0
SerialGen: Personalized Image Generation by First Standardization Then Personalization0
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision LocalizationCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
World-consistent Video Diffusion with Explicit 3D Modeling0
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation0
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer0
Memories of Forgotten Concepts0
CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images0
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection0
Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRICode0
Opt-In Art: Learning Art Styles Only from Few Examples0
Retrieval-guided Cross-view Image Synthesis0
JetFormer: An Autoregressive Generative Model of Raw Images and Text0
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain0
Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement0
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models0
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes0
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention0
SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation0
Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects0
Diffusion Self-Distillation for Zero-Shot Customized Image Generation0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space0
Type-R: Automatically Retouching Typos for Text-to-Image Generation0
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion0
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation0
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution0
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models0
Prediction with Action: Visual Policy Learning via Joint Denoising Process0
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds0
Reward Incremental Learning in Text-to-Image Generation0
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching0
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting0
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and QuantizationCode0
Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis0
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment0
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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