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

453 papers, page 6 of 10

251. NeurIPS 2026MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
252. NeurIPS 2026MorphGen: Controllable Cell-Image Generation with Biological Representation Alignment
253. NeurIPS 2026MotionCFG: Boosting Motion Dynamics via Semantic Motion Sharpening
254. NeurIPS 2026MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
255. NeurIPS 2026Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment
256. NeurIPS 2026Multimodal Context-Aware Human Motion Generation with Language, Vision, and Object
257. NeurIPS 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation
258. NeurIPS 2026N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
259. NeurIPS 2026NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
260. NeurIPS 2026Natural-Language-Guided Protein Generation for Ligand-Binding Design
261. NeurIPS 2026NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp Generation
262. NeurIPS 2026NeuroSynTheos: Learning to accelerate counterexample-guided reactive synthesis modulo theories
263. NeurIPS 2026NIV: Neural Axis Variations for Variable Font Generation
264. NeurIPS 2026Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
265. NeurIPS 2026Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
266. NeurIPS 2026Not All Layers Are Equal in Image-to-Video Transfer
267. NeurIPS 2026Not Every Image Teaches Vision: Visual-Necessity-Gated Continual Learning for Multimodal Large Language Models
268. NeurIPS 2026NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
269. NeurIPS 2026NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
270. NeurIPS 2026OBJECT-UNI: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation
271. NeurIPS 2026On the Price of Privacy for Language Identification and Generation
272. NeurIPS 2026On the Relaxation of Conditional Independence Assumption for Image Segmentation
273. NeurIPS 2026On-Policy Distillation with Open Property-Equivalence Reward for LLM-Based NL-to-SVA Generation
274. NeurIPS 2026One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization
275. NeurIPS 2026One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation
276. NeurIPS 2026ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration
277. NeurIPS 2026Opening the Black Box of Classifier-Free Guidance via Information Bottleneck
278. NeurIPS 2026OptiWorld: Optimal Control for Video World Generation under Physical Constraints
279. NeurIPS 2026ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
280. NeurIPS 2026Origami as a Real-Image Benchmark for Procedural State-Transition Reasoning
281. NeurIPS 2026Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
282. NeurIPS 2026OTEdit: Entropic Transport Corrected Trajectory for Inversion-Free Flow-Based Image Editing
283. NeurIPS 2026OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
284. NeurIPS 2026P$^{3}$: Joint Program-and-Proof Planning\\ for Verified Code Generation
285. NeurIPS 2026PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes
286. NeurIPS 2026Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
287. NeurIPS 2026Parameterized Stripe Attention for Efficient Video Generation
288. NeurIPS 2026Parametric Meets Non-parametric: Bridging Dual Prediction Spaces for Semi-supervised Medical Image Segmentation
289. NeurIPS 2026ParaPC-FM: Accelerating Parallel Sampling via Principled Initialization
290. NeurIPS 2026PARE: Pruning and Adaptive Routing for Efficient Video Generation
291. NeurIPS 2026PCDFusion: Proposal-Context-Detail Bayesian Rendering for Infrared-Visible Image Fusion
292. NeurIPS 2026Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
293. NeurIPS 2026PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
294. NeurIPS 2026Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation
295. NeurIPS 2026Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
296. NeurIPS 2026PhysTacGen: Physics-Aware Visual-Tactile Sensor Image Generation
297. NeurIPS 2026PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video
298. NeurIPS 2026PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
299. NeurIPS 2026PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
300. NeurIPS 2026Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing

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.