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 4651–4700 of 6689 papers

TitleStatusHype
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesCode0
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks—0
Array Camera Image Fusion using Physics-Aware TransformersCode0
Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingCode1
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised ApproachCode1
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
Transforming Image Generation from Scene Graphs—0
Semantic Image Synthesis via Diffusion ModelsCode2
3D-Aware Video GenerationCode1
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAECode0
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One—0
Megapixel Image Generation with Step-Unrolled Denoising AutoencodersCode0
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change DetectionCode2
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
Mitigating Presentation Attack using DCGAN and Deep CNN—0
Scaling Autoregressive Models for Content-Rich Text-to-Image GenerationCode0
The ArtBench Dataset: Benchmarking Generative Models with ArtworksCode2
Generative Modelling With Inverse Heat DissipationCode1
Temporally Consistent Semantic Video Editing—0
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural NetworksCode1
CS^2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human InterventionCode0
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasetsCode0
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
StudioGAN: A Taxonomy and Benchmark of GANs for Image SynthesisCode4
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized ImagesCode1
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Write and Paint: Generative Vision-Language Models are Unified Modal LearnersCode1
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel GridsCode1
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds—0
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationCode1
Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models—0
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer—0
Dilated POCS: Minimax Convex Optimization—0
Accelerating Score-based Generative Models for High-Resolution Image Synthesis—0
Day-to-Night Image Synthesis for Training Nighttime Neural ISPsCode0
Scene Aware Person Image Generation through Global Contextual Conditioning—0
Blended Latent DiffusionCode2
Diffusion-GAN: Training GANs with DiffusionCode2
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Style-Content Disentanglement in Language-Image Pretraining Representations for Zero-Shot Sketch-to-Image Synthesis—0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
Modular StoryGAN with Background and Theme Awareness for Story VisualizationCode0
Modeling Image Composition for Complex Scene GenerationCode1
PAGER: Progressive Attribute-Guided Extendable Robust Image GenerationCode0
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder—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