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 4051–4100 of 6689 papers

TitleStatusHype
Unsupervised Domain Transfer with Conditional Invertible Neural Networks—0
GlueGen: Plug and Play Multi-modal Encoders for X-to-image GenerationCode1
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities—0
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
Conditional Synthetic Food Image Generation—0
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute ManipulationsCode0
P+: Extended Textual Conditioning in Text-to-Image GenerationCode1
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral PerspectiveCode1
Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation—0
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
DiffIR: Efficient Diffusion Model for Image RestorationCode2
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation—0
VideoFusion: Decomposed Diffusion Models for High-Quality Video GenerationCode4
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language KnowledgeCode1
Multi-Exposure HDR Composition by Gated Swin Transformer—0
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion—0
Investigating GANsformer: A Replication Study of a State-of-the-Art Image Generation Model—0
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs—0
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion ModelsCode1
Text-to-image Diffusion Models in Generative AI: A Survey—0
Diffusion Models in NLP: A Survey—0
Interpretable ODE-style Generative Diffusion Model via Force Field Construction—0
SelfPromer: Self-Prompt Dehazing Transformers with Depth-ConsistencyCode1
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance FunctionCode0
One Transformer Fits All Distributions in Multi-Modal Diffusion at ScaleCode3
PARASOL: Parametric Style Control for Diffusion Image Synthesis—0
Regularized Vector Quantization for Tokenized Image Synthesis—0
TrojDiff: Trojan Attacks on Diffusion Models with Diverse TargetsCode1
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN ImagesCode0
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion ModelsCode1
Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creationCode0
Learning Stationary Markov Processes with Contrastive AdjustmentCode0
Scaling up GANs for Text-to-Image SynthesisCode0
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image GenerationCode0
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
Video-P2P: Video Editing with Cross-attention ControlCode2
Transformer-based Image Generation from Scene GraphsCode1
M-EBM: Towards Understanding the Manifolds of Energy-Based ModelsCode0
A Prompt Log Analysis of Text-to-Image Generation SystemsCode0
Video-P2P: Video Editing with Cross-attention ControlCode2
Exploring Efficient-Tuned Learning Audio Representation Method from BriVL—0
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image GenerationCode1
Vector Quantized Time Series Generation with a Bidirectional Prior ModelCode1
ELODIN: Naming Concepts in Embedding Spaces—0
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding—0
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking OraclesCode1
Neural Style Transfer for Vector GraphicsCode0
Learning multi-scale local conditional probability models of imagesCode1
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models—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