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

5,184 papers, page 101 of 104

5001. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
5002. ICML 2023Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
5003. ICML 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
5004. ICML 2023Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
5005. ICML 2023Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
5006. ICML 2023Text-To-4D Dynamic Scene Generation
5007. ICML 2023Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
5008. ICML 2023Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
5009. ICML 2023Towards Explaining Distribution Shifts
5010. ICML 2023TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
5011. ICML 2023Tractable Control for Autoregressive Language Generation
5012. ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
5013. ICML 2023Vector Quantized Wasserstein Auto-Encoder
5014. ICML 2023Von Mises Mixture Distributions for Molecular Conformation Generation
5015. NeurIPS 2023[Re] End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
5016. NeurIPS 20234D Panoptic Scene Graph Generation
5017. NeurIPS 2023A case for reframing automated medical image classification as segmentation
5018. NeurIPS 2023A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
5019. NeurIPS 2023A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
5020. NeurIPS 2023A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
5021. NeurIPS 2023A Unified Conditional Framework for Diffusion-based Image Restoration
5022. NeurIPS 2023AbDiffuser: full-atom generation of in-vitro functioning antibodies
5023. NeurIPS 2023Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
5024. NeurIPS 2023Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
5025. NeurIPS 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
5026. NeurIPS 2023Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
5027. NeurIPS 2023AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
5028. NeurIPS 2023AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
5029. NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
5030. NeurIPS 2023ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
5031. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
5032. NeurIPS 2023Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
5033. NeurIPS 2023Benchmarking Robustness to Adversarial Image Obfuscations
5034. NeurIPS 2023Beyond MLE: Convex Learning for Text Generation
5035. NeurIPS 2023Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
5036. NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
5037. NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
5038. NeurIPS 2023Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
5039. NeurIPS 2023CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer
5040. NeurIPS 2023ChatGPT-Powered Hierarchical Comparisons for Image Classification
5041. NeurIPS 2023Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation
5042. NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
5043. NeurIPS 2023Cola: A Benchmark for Compositional Text-to-image Retrieval
5044. NeurIPS 2023Conditional Score Guidance for Text-Driven Image-to-Image Translation
5045. NeurIPS 2023ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
5046. NeurIPS 2023Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
5047. NeurIPS 2023Controlling Text-to-Image Diffusion by Orthogonal Finetuning
5048. NeurIPS 2023Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
5049. NeurIPS 2023CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
5050. NeurIPS 2023Counterfactual Generation with Identifiability Guarantees

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.