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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3301–3350 of 6689 papers

TitleStatusHype
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else—0
ConditionVideo: Training-Free Condition-Guided Text-to-Video GenerationCode1
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion ModelsCode1
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling—0
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingCode0
Improving Compositional Text-to-image Generation with Large Vision-Language Models—0
Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers—0
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Language Model Beats Diffusion -- Tokenizer is Key to Visual GenerationCode4
Locality-Aware Generalizable Implicit Neural Representation—0
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
Perceptual Artifacts Localization for Image Synthesis Tasks—0
The Emergence of Reproducibility and Generalizability in Diffusion ModelsCode1
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection—0
Targeted Attack Improves Protection against Unauthorized Diffusion CustomizationCode1
Observation-Guided Diffusion Probabilistic ModelsCode0
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step InferenceCode4
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity—0
Assessing Robustness via Score-Based Adversarial Image Generation—0
Predictive microstructure image generation using denoising diffusion probabilistic modelsCode1
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path TracingCode0
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
Robustness-Guided Image Synthesis for Data-Free Quantization—0
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency—0
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT ImagesCode1
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent DiffusionCode4
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance KernelCode0
Kosmos-G: Generating Images in Context with Multimodal Large Language ModelsCode0
ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF—0
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day—0
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance FieldsCode1
GETAvatar: Generative Textured Meshes for Animatable Human Avatars—0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models—0
GenCO: Generating Diverse Designs with Combinatorial Constraints—0
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image ModelsCode0
MiniGPT-5: Interleaved Vision-and-Language Generation via Generative VokensCode2
TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling—0
ImagenHub: Standardizing the evaluation of conditional image generation modelsCode1
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of CodeCode2
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP—0
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionCode2
Counterfactual Image Generation for adversarially robust and interpretable Classifiers—0
Completing Visual Objects via Bridging Generation and Segmentation—0
A Comprehensive Review of Generative AI in Healthcare—0
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision GeneralistsCode2
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisCode4
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisCode0
Show:102550
← PrevPage 67 of 134Next →
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