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

Showing 451475 of 6689 papers

TitleStatusHype
Bias in Large Language Models Across Clinical Applications: A Systematic Review0
GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image GenerationCode3
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation0
Less-to-More Generalization: Unlocking More Controllability by In-Context GenerationCode5
Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation0
FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs0
Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation0
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion RefinementCode2
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image SynthesisCode0
From Easy to Hard: Building a Shortcut for Differentially Private Image SynthesisCode0
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and QuantizationCode1
AnimeGamer: Infinite Anime Life Simulation with Next Game State PredictionCode3
Geometric Median Matching for Robust k-Subset Selection from Noisy Data0
Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image ModelsCode0
ShieldGemma 2: Robust and Tractable Image Content Moderation0
Prompting Forgetting: Unlearning in GANs via Textual Guidance0
Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o0
SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting0
Semantic Packet Aggregation and Repeated Transmission for Text-to-Image Generation0
FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics0
Detail-aware multi-view stereo network for depth estimationCode0
AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous AgentsCode3
ERUPT: Efficient Rendering with Unposed Patch Transformer0
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy0
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST0
Show:102550
← PrevPage 19 of 268Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified