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 5401–5450 of 6689 papers

TitleStatusHype
Reward Guided Latent Consistency Distillation—0
Reward Incremental Learning in Text-to-Image Generation—0
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images—0
RGBX: Image decomposition and synthesis using material- and lighting-aware diffusion models—0
Urban Scene Diffusion through Semantic Occupancy Map—0
Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization—0
1.58-bit FLUX—0
Riemannian Diffusion Models—0
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge—0
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection—0
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy—0
Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images—0
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples—0
RIT-Eyes: Rendering of near-eye images for eye-tracking applications—0
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models—0
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation—0
Robot Localization and Mapping Final Report -- Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation—0
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning—0
User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
A Generative Approach to High Fidelity 3D Reconstruction from Text Data—0
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing—0
Robustness-Guided Image Synthesis for Data-Free Quantization—0
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks—0
Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models—0
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior—0
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation—0
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture—0
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models—0
RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model—0
RSFAKE-1M: A Large-Scale Dataset for Detecting Diffusion-Generated Remote Sensing Forgeries—0
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models—0
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis—0
S2DM: Sector-Shaped Diffusion Models for Video Generation—0
XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework—0
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis—0
S2ST: Image-to-Image Translation in the Seed Space of Latent Diffusion—0
Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o—0
SafeCFG: Redirecting Harmful Classifier-Free Guidance for Safe Generation—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
Safer Prompts: Reducing IP Risk in Visual Generative AI—0
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking—0
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking—0
SafeText: Safe Text-to-image Models via Aligning the Text Encoder—0
Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding—0
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation—0
Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction—0
Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking—0
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation—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