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 4101–4150 of 6689 papers

TitleStatusHype
Interactive Visual Assessment for Text-to-Image Generation Models—0
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment—0
Watch Your Steps: Local Image and Scene Editing by Text Instructions—0
Towards GAN Benchmarks Which Require Generalization—0
Interpretable ODE-style Generative Diffusion Model via Force Field Construction—0
Interpreting Generative Adversarial Networks for Interactive Image Generation—0
A Survey on Pre-Trained Diffusion Model Distillations—0
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation—0
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models—0
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search—0
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition—0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter—0
Invariant Representation via Decoupling Style and Spurious Features from Images—0
Invariant Representations for Noisy Speech Recognition—0
Inverse Painting: Reconstructing The Painting Process—0
A Survey on Personalized Content Synthesis with Diffusion Models—0
Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting—0
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps—0
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models—0
Towards Generative Latent Variable Models for Speech—0
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis—0
Investigating GANsformer: A Replication Study of a State-of-the-Art Image Generation Model—0
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images—0
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes—0
Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection—0
Towards High-quality HDR Deghosting with Conditional Diffusion Models—0
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation—0
IP-Composer: Semantic Composition of Visual Concepts—0
180-degree Outpainting from a Single Image—0
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions—0
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text—0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning—0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration—0
Towards Interpretable Counterfactual Generation via Multimodal Autoregression—0
Is Deep Learning Network Necessary for Image Generation?—0
Inducing Hierarchical Compositional Model by Sparsifying Generator Network—0
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data—0
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise—0
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance—0
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond—0
Is Perturbation-Based Image Protection Disruptive to Image Editing?—0
Towards Language-Free Training for Text-to-Image Generation—0
Is There Mode Collapse? A Case Study on Face Generation and Its Black-box Calibration—0
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation—0
Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling—0
Iterative Multi-granular Image Editing using Diffusion Models—0
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—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