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

1,371 papers, page 7 of 28

301. NeurIPS 2026PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery
302. NeurIPS 2026Prefix Likelihood-Ratio Control: Tail-Stable Training for Long-Horizon Language Generation
303. NeurIPS 2026Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
304. NeurIPS 2026Primal-Dual Flow Matching for Sample-Wise Constrained Generation
305. NeurIPS 2026PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
306. NeurIPS 2026PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
307. NeurIPS 2026Probability-Conserving Flow Guidance
308. NeurIPS 2026Probing Visual Planning in Image Editing Models
309. NeurIPS 2026ProGraf: Profile-Guided Planning for Step-by-Step Generation of Structured Non-Natural Images
310. NeurIPS 2026Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
311. NeurIPS 2026Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
312. NeurIPS 2026Pygmalion: Bridging Reconstruction and Generation in Sparse Voxel-based 3D Modeling
313. NeurIPS 2026Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
314. NeurIPS 2026QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
315. NeurIPS 2026RADAR: Relative Angular Divergence Across Representations
316. NeurIPS 2026RADAR: Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
317. NeurIPS 2026RADIUM: RadioActive Decay of Image-Underlaid Marks
318. NeurIPS 2026Random-Projection Tree Stein Variational Gradient Descent
319. NeurIPS 2026RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution
320. NeurIPS 2026RANSAC Scoring Done Right
321. NeurIPS 2026RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance
322. NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
323. NeurIPS 2026Re-evaluating Confidence Remasking in Masked Diffusion Language Models
324. NeurIPS 2026Read It Back: Pretrained MLLMs Are Zero-shot Reward Models for Text-to-Image Generation
325. NeurIPS 2026Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning
326. NeurIPS 2026Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
327. NeurIPS 2026RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
328. NeurIPS 2026RefineTok: Scale-Wise Tokenization for Progressive Visual Refinement
329. NeurIPS 2026ReFlex: Faithful Panorama Reconstruction from a Single Image with Reflections
330. NeurIPS 2026REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
331. NeurIPS 2026ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
332. NeurIPS 2026Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images
333. NeurIPS 2026Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation
334. NeurIPS 2026RePiD: Efficient Recursive Pixel-Space Diffusion via Hierarchical Patch Denoising
335. NeurIPS 2026Representation Fréchet Loss for Visual Generation
336. NeurIPS 2026ResFusion: Medical Image Fusion Driven by Implicit-Forward Diffusion and Time-aware Joint Optimization
337. NeurIPS 2026Rethinking Contrastive Targets in Radiology Language-Image Pretraining
338. NeurIPS 2026Retrieve What’s Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation
339. NeurIPS 2026Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures
340. NeurIPS 2026Reward Shaping to Improve Language Model Query Generation
341. NeurIPS 2026RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement
342. NeurIPS 2026RISE: Red-teaming via Iterative Strategy Evolution for Modern Text-to-Image Models
343. NeurIPS 2026RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
344. NeurIPS 2026RobustStress: Stress-Testing AI-Generated Text Detectors under Gradual Perturbations
345. NeurIPS 2026RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
346. NeurIPS 2026Safe Few-Step Generation via Velocity Editing
347. NeurIPS 2026SafePro: Generation of Safe and Functional Proteins via Cross-Task Conflict-Aware Alignment
348. NeurIPS 2026SAGE: Semantic-Agnostic Image Embedding for Generalized AI-Generated Image Detection
349. NeurIPS 2026Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy
350. NeurIPS 2026Scalable Fair Learning via Cramér-von Mises Regularization

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.