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 22 of 28

1051. NeurIPS 2024Learning Group Actions on Latent Representations
1052. NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
1053. NeurIPS 2024Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
1054. NeurIPS 2024Learning predictable and robust neural representations by straightening image sequences
1055. NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
1056. NeurIPS 2024Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
1057. NeurIPS 2024LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
1058. NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
1059. NeurIPS 2024Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
1060. NeurIPS 2024Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
1061. NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
1062. NeurIPS 2024Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
1063. NeurIPS 2024Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
1064. NeurIPS 2024Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
1065. NeurIPS 2024MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
1066. NeurIPS 2024MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
1067. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
1068. NeurIPS 2024MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
1069. NeurIPS 2024MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
1070. NeurIPS 2024MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
1071. NeurIPS 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
1072. NeurIPS 2024MotionBooth: Motion-Aware Customized Text-to-Video Generation
1073. NeurIPS 2024MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions
1074. NeurIPS 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
1075. NeurIPS 2024Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
1076. NeurIPS 2024Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
1077. NeurIPS 2024Neural Cover Selection for Image Steganography
1078. NeurIPS 2024Neural Residual Diffusion Models for Deep Scalable Vision Generation
1079. NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
1080. NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
1081. NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
1082. NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
1083. NeurIPS 2024On the Noise Robustness of In-Context Learning for Text Generation
1084. NeurIPS 2024One-Step Diffusion Distillation through Score Implicit Matching
1085. NeurIPS 2024One-Step Effective Diffusion Network for Real-World Image Super-Resolution
1086. NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
1087. NeurIPS 2024Optical Diffusion Models for Image Generation
1088. NeurIPS 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
1089. NeurIPS 2024ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
1090. NeurIPS 2024Parameter-Inverted Image Pyramid Networks
1091. NeurIPS 2024Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
1092. NeurIPS 2024pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
1093. NeurIPS 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
1094. NeurIPS 2024PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
1095. NeurIPS 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
1096. NeurIPS 2024Phased Consistency Models
1097. NeurIPS 2024PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
1098. NeurIPS 2024Physically Compatible 3D Object Modeling from a Single Image
1099. NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
1100. NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

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.