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 2751–2800 of 6689 papers

TitleStatusHype
Variational Schrödinger Momentum Diffusion—0
DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model—0
MetaDecorator: Generating Immersive Virtual Tours through Multimodality—0
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation—0
RelightVid: Temporal-Consistent Diffusion Model for Video Relighting—0
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation—0
StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces—0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity—0
Comparative clinical evaluation of "memory-efficient" synthetic 3d generative adversarial networks (gan) head-to-head to state of art: results on computed tomography of the chest—0
Enhancing Intent Understanding for Ambiguous prompt: A Human-Machine Co-Adaption Strategy—0
"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection—0
Fully Guided Neural Schrödinger bridge for Brain MR image synthesis—0
Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion 2.*—0
PAID: A Framework of Product-Centric Advertising Image Design—0
Towards Scalable Topological Regularizers—0
PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics—0
Binary Diffusion Probabilistic Model—0
Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial CurvesCode0
A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation—0
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention MapsCode0
MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize—0
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image ModelsCode0
Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation—0
Accelerate High-Quality Diffusion Models with Inner Loop Feedback—0
Synthetic CT image generation from CBCT: A Systematic Review—0
PreciseCam: Precise Camera Control for Text-to-Image Generation—0
Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation—0
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
GPS as a Control Signal for Image Generation—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models—0
Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistsCode0
ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal ConditionsCode0
Are generative models fair? A study of racial bias in dermatological image generation—0
Ditto: Accelerating Diffusion Model via Temporal Value Similarity—0
Block Flow: Learning Straight Flow on Data BlocksCode0
Nested Annealed Training Scheme for Generative Adversarial Networks—0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP—0
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency—0
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment—0
Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked DiffusionCode0
Dynamic Neural Style Transfer for Artistic Image Generation using VGG19—0
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation—0
SEAL: Entangled White-box Watermarks on Low-Rank Adaptation—0
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—0
SVIA: A Street View Image Anonymization Framework for Self-Driving ApplicationsCode0
StereoGen: High-quality Stereo Image Generation from a Single Image—0
Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated ImagesCode0
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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