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

944 papers, page 14 of 19

651. ICLR 2024CAS: A Probability-Based Approach for Universal Condition Alignment Score
652. ICLR 2024Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
653. ICLR 2024Circumventing Concept Erasure Methods For Text-To-Image Generative Models
654. ICLR 2024CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
655. ICLR 2024Closing the Curious Case of Neural Text Degeneration
656. ICLR 2024CoBIT: A Contrastive Bi-directional Image-Text Generation Model
657. ICLR 2024COLLIE: Systematic Construction of Constrained Text Generation Tasks
658. ICLR 2024Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
659. ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
660. ICLR 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
661. ICLR 2024Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
662. ICLR 2024Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
663. ICLR 2024ContextRef: Evaluating Referenceless Metrics for Image Description Generation
664. ICLR 2024Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
665. ICLR 2024Controlled Text Generation via Language Model Arithmetic
666. ICLR 2024ControlVideo: Training-free Controllable Text-to-video Generation
667. ICLR 2024CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
668. ICLR 2024Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
669. ICLR 2024Data Filtering Networks
670. ICLR 2024Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
671. ICLR 2024Demystifying CLIP Data
672. ICLR 2024Denoising Diffusion via Image-Based Rendering
673. ICLR 2024Detecting, Explaining, and Mitigating Memorization in Diffusion Models
674. ICLR 2024DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
675. ICLR 2024DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
676. ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
677. ICLR 2024Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
678. ICLR 2024Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
679. ICLR 2024DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
680. ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
681. ICLR 2024DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
682. ICLR 2024DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
683. ICLR 2024Does Writing with Language Models Reduce Content Diversity?
684. ICLR 2024DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
685. ICLR 2024Domain-Agnostic Molecular Generation with Chemical Feedback
686. ICLR 2024DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
687. ICLR 2024DreamClean: Restoring Clean Image Using Deep Diffusion Prior
688. ICLR 2024DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
689. ICLR 2024DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
690. ICLR 2024DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
691. ICLR 2024DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
692. ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
693. ICLR 2024Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
694. ICLR 2024Elucidating the design space of classifier-guided diffusion generation
695. ICLR 2024End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
696. ICLR 2024Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
697. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
698. ICLR 2024Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
699. ICLR 2024Exposing Text-Image Inconsistency Using Diffusion Models
700. ICLR 2024Fake It Till Make It: Federated Learning with Consensus-Oriented Generation

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.