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 1426–1450 of 6689 papers

TitleStatusHype
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians—0
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative FrameworkCode3
GrounDiT: Grounding Diffusion Transformers via Noisy Patch TransplantationCode2
Generator Matching: Generative modeling with arbitrary Markov processes—0
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image GenerationCode1
Classification under strategic adversary manipulation using pessimistic bilevel optimisation—0
Image Generation from Image Captioning -- Invertible Approach—0
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning—0
Your Image is Secretly the Last Frame of a Pseudo Video—0
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model—0
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts—0
High Resolution Seismic Waveform Generation using Denoising Diffusion—0
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion—0
Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-ExpertsCode1
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction DataCode7
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation—0
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded SamplingCode1
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation—0
Stable Consistency Tuning: Understanding and Improving Consistency ModelsCode0
Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Model—0
Towards Visual Text Design Transfer Across Languages—0
Generation of Indian Sign Language Letters, Numbers, and WordsCode0
Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank DecompositionCode0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Medical Imaging Complexity and its Effects on GAN PerformanceCode0
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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