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

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Showing 1251–1300 of 6689 papers

TitleStatusHype
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation—0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds—0
Type-R: Automatically Retouching Typos for Text-to-Image Generation—0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space—0
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models—0
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion—0
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text GenerationCode1
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion—0
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion ModelsCode2
Diffusion Self-Distillation for Zero-Shot Customized Image Generation—0
Prediction with Action: Visual Policy Learning via Joint Denoising Process—0
Collaborative Decoding Makes Visual Auto-Regressive Modeling EfficientCode2
Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications—0
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral ConstraintsCode2
cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image SynthesisCode1
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment—0
Reward Incremental Learning in Text-to-Image Generation—0
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting—0
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and QuantizationCode0
From Graph Diffusion to Graph Classification—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching—0
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework—0
semantic image synthesis of anime characters based on conditional generative adversarial networksCode0
CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis—0
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task—0
ZoomLDM: Latent Diffusion Model for multi-scale image generationCode1
Controllable Human Image Generation with Personalized Multi-Garments—0
Text-to-Image Synthesis: A Decade Survey—0
CapHDR2IR: Caption-Driven Transfer from Visible Light to Infrared Domain—0
Factorized Visual Tokenization and Generation—0
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image SynthesisCode0
Image Generation Diversity Issues and How to Tame ThemCode1
One Diffusion to Generate Them AllCode4
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
Visual Counter Turing Test (VCT^2): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V_AI)—0
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMsCode1
Importance-Based Token Merging for Efficient Image and Video Generation—0
What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable GenerationCode2
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image GeneratorCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance—0
Interactive Visual Assessment for Text-to-Image Generation Models—0
Gradient-Free Classifier Guidance for Diffusion Model Sampling—0
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation BenchmarkCode1
AnyText2: Visual Text Generation and Editing With Customizable AttributesCode2
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward—0
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency—0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified