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 28 of 35

1351. NeurIPS 2026Contextual Flow Matching for High-quality Visual Content Generation
1352. NeurIPS 2026Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
1353. NeurIPS 2026Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
1354. NeurIPS 2026Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry
1355. NeurIPS 2026Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
1356. NeurIPS 2026Contrastive Identification and Generation in the Limit
1357. NeurIPS 2026Controllable Road Marking Generation
1358. NeurIPS 2026CoScan: Multi-Scale Content-Adaptive Space-Filling Scans for Causal State-Space Image Restoration
1359. NeurIPS 2026Coupled Guidance for Flow Matching
1360. NeurIPS 2026Coupling Models for One-Step Discrete Generation
1361. NeurIPS 2026CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding
1362. NeurIPS 2026CrossID: Cross-Supervised Spatio-Temporal Gated Fusion for Personalized Portrait Generation
1363. NeurIPS 2026CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation
1364. NeurIPS 2026DARE: Dual-Level Adversarial Learning with Domain-Aware Regularization for Whole Slide Image Classification
1365. NeurIPS 2026Dataset Collections: Challenges of Large-Scale Data Aggregation in 3D Medical Image Datasets
1366. NeurIPS 2026Debiased Counterfactual Generation via Flow Matching from Observations
1367. NeurIPS 2026Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
1368. NeurIPS 2026DEDCA: Test-Time Adaptation for Generalized AI-Generated Image Detection
1369. NeurIPS 2026DeepfakeGenome: Toward Next-Generation Deepfake Attribution
1370. NeurIPS 2026DeFlowCritic: Dense Latent Reward Alignment for Text-to-Image Flow Matching Models
1371. NeurIPS 2026Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
1372. NeurIPS 2026Denoising Time Matters: Diverse Generation in Diffusion Language Models
1373. NeurIPS 2026DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English
1374. NeurIPS 2026Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image Generation
1375. NeurIPS 2026Diffusion Language Models Can Approximate Optimal Infilling Lengths Implicitly
1376. NeurIPS 2026Diffusion Models without Classifier-free Guidance
1377. NeurIPS 2026DiPhon: Diffusion on Graphons for Scalable Graph Generation
1378. NeurIPS 2026Directional Noise Conditioning for Diffusion Models
1379. NeurIPS 2026DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers
1380. NeurIPS 2026Discovering Unseen Degradations to Adapt Open-World Image Restoration
1381. NeurIPS 2026Discrete Stochastic Localization for Non-autoregressive Generation
1382. NeurIPS 2026Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation
1383. NeurIPS 2026Do Composed Image Retrieval Benchmarks Require Multimodal Composition?
1384. NeurIPS 2026Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
1385. NeurIPS 2026Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields
1386. NeurIPS 2026Drifting Fields are not Conservative
1387. NeurIPS 2026DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
1388. NeurIPS 2026DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation
1389. NeurIPS 2026Duality Models: An Embarrassingly Simple One-step Generation Paradigm
1390. NeurIPS 2026Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
1391. NeurIPS 2026Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
1392. NeurIPS 2026DynaTokens: Teaching Dynamics to Camera-Controlled Video Models at Test Time
1393. NeurIPS 2026EditFlowSR: Revisable Expression Generation for Symbolic Regression
1394. NeurIPS 2026EditJudge-Bench: Auditing VLM Image-Edit Judges with Synthetic Ground Truth
1395. NeurIPS 2026Efficient Image Synthesis with Sphere Latent Encoder
1396. NeurIPS 2026Elastic Representations via Hyperbolic Geometry
1397. NeurIPS 2026ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
1398. NeurIPS 2026Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
1399. NeurIPS 2026Ensembling Language Models with Sequential Monte Carlo
1400. NeurIPS 2026Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization

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.