Image Generation papers, 2023–2026

Key findings

• Image Generation went from 780 papers in 2023 to 1,721 in 2026, roughly 2.2x in three years.
• CVPR publishes the most Image Generation work: 2,262 papers from 2023 to 2026, 44% of the four-venue total.
• The fastest-growing overlap is with Deep learning · generative models and autoencoders: papers tagged with both rose from 35 in 2023 to 150 in 2026.
• Among the 5 topics under Computer Vision, it ranks #1 by 2026 paper count; the fastest grower in the group, Video Understanding, is up 2.6x versus 2.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026Klein Hyperbolic Metric Learning
• ICLR 2026A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
• CVPR 2026Adaptive Learned Image Compression with Graph Neural Networks
• NeurIPS 2025Alchemist: Turning Public Text-to-Image Data into Generative Gold
• ICML 2025BiMark: Unbiased Multilayer Watermarking for Large Language Models
• ICLR 2025Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
• CVPR 2025A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
• NeurIPS 2024Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
• ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
• ICLR 2024AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
• CVPR 2024DemoCaricature: Democratising Caricature Generation with a Rough Sketch
• NeurIPS 20234D Panoptic Scene Graph Generation
• ICML 2023Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
• ICLR 2023Accurate Image Restoration with Attention Retractable Transformer
• CVPR 20233D GAN Inversion With Facial Symmetry Prior
• NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
• ICML 2026Noisy-Channel Minimum Bayes Risk Decoding
• ICLR 2026All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning
• CVPR 2026AIMDepth Asymmetric Image-Event Mamba for Monocular Depth Estimation

All Image Generation papers

1,721 papers, page 32 of 35

1551. NeurIPS 2026OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
1552. NeurIPS 2026P$^{3}$: Joint Program-and-Proof Planning\\ for Verified Code Generation
1553. NeurIPS 2026PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes
1554. NeurIPS 2026Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
1555. NeurIPS 2026Parameterized Stripe Attention for Efficient Video Generation
1556. NeurIPS 2026Parametric Meets Non-parametric: Bridging Dual Prediction Spaces for Semi-supervised Medical Image Segmentation
1557. NeurIPS 2026ParaPC-FM: Accelerating Parallel Sampling via Principled Initialization
1558. NeurIPS 2026PARE: Pruning and Adaptive Routing for Efficient Video Generation
1559. NeurIPS 2026PCDFusion: Proposal-Context-Detail Bayesian Rendering for Infrared-Visible Image Fusion
1560. NeurIPS 2026Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
1561. NeurIPS 2026PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
1562. NeurIPS 2026Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation
1563. NeurIPS 2026Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
1564. NeurIPS 2026PhysTacGen: Physics-Aware Visual-Tactile Sensor Image Generation
1565. NeurIPS 2026PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video
1566. NeurIPS 2026PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
1567. NeurIPS 2026PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
1568. NeurIPS 2026Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing
1569. NeurIPS 2026PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery
1570. NeurIPS 2026Prefix Likelihood-Ratio Control: Tail-Stable Training for Long-Horizon Language Generation
1571. NeurIPS 2026Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
1572. NeurIPS 2026Primal-Dual Flow Matching for Sample-Wise Constrained Generation
1573. NeurIPS 2026PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
1574. NeurIPS 2026PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
1575. NeurIPS 2026Probability-Conserving Flow Guidance
1576. NeurIPS 2026Probing Visual Planning in Image Editing Models
1577. NeurIPS 2026ProGraf: Profile-Guided Planning for Step-by-Step Generation of Structured Non-Natural Images
1578. NeurIPS 2026Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
1579. NeurIPS 2026Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
1580. NeurIPS 2026Pygmalion: Bridging Reconstruction and Generation in Sparse Voxel-based 3D Modeling
1581. NeurIPS 2026Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
1582. NeurIPS 2026QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
1583. NeurIPS 2026RADAR: Relative Angular Divergence Across Representations
1584. NeurIPS 2026RADAR: Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
1585. NeurIPS 2026RADIUM: RadioActive Decay of Image-Underlaid Marks
1586. NeurIPS 2026Random-Projection Tree Stein Variational Gradient Descent
1587. NeurIPS 2026RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution
1588. NeurIPS 2026RANSAC Scoring Done Right
1589. NeurIPS 2026RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance
1590. NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
1591. NeurIPS 2026Re-evaluating Confidence Remasking in Masked Diffusion Language Models
1592. NeurIPS 2026Read It Back: Pretrained MLLMs Are Zero-shot Reward Models for Text-to-Image Generation
1593. NeurIPS 2026Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning
1594. NeurIPS 2026Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
1595. NeurIPS 2026RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
1596. NeurIPS 2026RefineTok: Scale-Wise Tokenization for Progressive Visual Refinement
1597. NeurIPS 2026ReFlex: Faithful Panorama Reconstruction from a Single Image with Reflections
1598. NeurIPS 2026REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
1599. NeurIPS 2026ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
1600. NeurIPS 2026Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images

FAQ

How many Image Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,184 in total: 780 in 2023, 1,216 in 2024, 1,467 in 2025, 1,721 in 2026.

How many Image Generation papers are at NeurIPS 2026?

NeurIPS 2026 has 453 Image Generation papers, versus 430 the year before.

How many Image Generation papers are at ICLR 2026?

ICLR 2026 has 349 Image Generation papers, versus 278 the year before.

How many Image Generation papers are at ICML 2026?

ICML 2026 has 230 Image Generation papers, versus 147 the year before.

How many Image Generation papers are at CVPR 2026?

CVPR 2026 has 689 Image Generation papers, versus 612 the year before.

Which conference publishes the most Image Generation papers?

CVPR, with 2,262 papers from 2023 to 2026.