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

199 papers, page 2 of 4

51. ICLR 2024Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
52. ICLR 2024DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
53. ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
54. ICLR 2024DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
55. ICLR 2024DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
56. ICLR 2024Does Writing with Language Models Reduce Content Diversity?
57. ICLR 2024DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
58. ICLR 2024Domain-Agnostic Molecular Generation with Chemical Feedback
59. ICLR 2024DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
60. ICLR 2024DreamClean: Restoring Clean Image Using Deep Diffusion Prior
61. ICLR 2024DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
62. ICLR 2024DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
63. ICLR 2024DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
64. ICLR 2024DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
65. ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
66. ICLR 2024Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
67. ICLR 2024Elucidating the design space of classifier-guided diffusion generation
68. ICLR 2024End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
69. ICLR 2024Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
70. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
71. ICLR 2024Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
72. ICLR 2024Exposing Text-Image Inconsistency Using Diffusion Models
73. ICLR 2024Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
74. ICLR 2024Federated Text-driven Prompt Generation for Vision-Language Models
75. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
76. ICLR 2024Finetuning Text-to-Image Diffusion Models for Fairness
77. ICLR 2024FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
78. ICLR 2024Frequency-Aware Transformer for Learned Image Compression
79. ICLR 2024From Posterior Sampling to Meaningful Diversity in Image Restoration
80. ICLR 2024GAIA: Zero-shot Talking Avatar Generation
81. ICLR 2024GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
82. ICLR 2024Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
83. ICLR 2024GIM: Learning Generalizable Image Matcher From Internet Videos
84. ICLR 2024GPAvatar: Generalizable and Precise Head Avatar from Image(s)
85. ICLR 2024Graph Generation with $K^2$-trees
86. ICLR 2024Guiding Instruction-based Image Editing via Multimodal Large Language Models
87. ICLR 2024HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
88. ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
89. ICLR 2024HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
90. ICLR 2024Idempotence and Perceptual Image Compression
91. ICLR 2024Image Background Serves as Good Proxy for Out-of-distribution Data
92. ICLR 2024Image Clustering Conditioned on Text Criteria
93. ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
94. ICLR 2024Image Inpainting via Iteratively Decoupled Probabilistic Modeling
95. ICLR 2024Image Inpainting via Tractable Steering of Diffusion Models
96. ICLR 2024Image Translation as Diffusion Visual Programmers
97. ICLR 2024Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
98. ICLR 2024ImagenHub: Standardizing the evaluation of conditional image generation models
99. ICLR 2024Improved Probabilistic Image-Text Representations
100. ICLR 2024IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models

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.