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

318 papers, page 4 of 7

151. NeurIPS 2024IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation
152. NeurIPS 2024Improved Distribution Matching Distillation for Fast Image Synthesis
153. NeurIPS 2024Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting
154. NeurIPS 2024In Pursuit of Causal Label Correlations for Multi-label Image Recognition
155. NeurIPS 2024Incentivizing Quality Text Generation via Statistical Contracts
156. NeurIPS 2024INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
157. NeurIPS 2024IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
158. NeurIPS 2024Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
159. NeurIPS 2024Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
160. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
161. NeurIPS 2024IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
162. NeurIPS 2024Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
163. NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
164. NeurIPS 2024KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
165. NeurIPS 2024L4GM: Large 4D Gaussian Reconstruction Model
166. NeurIPS 2024Language Generation in the Limit
167. NeurIPS 2024Language-Driven Interactive Traffic Trajectory Generation
168. NeurIPS 2024Learning Group Actions on Latent Representations
169. NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
170. NeurIPS 2024Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
171. NeurIPS 2024Learning predictable and robust neural representations by straightening image sequences
172. NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
173. NeurIPS 2024Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
174. NeurIPS 2024LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
175. NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
176. NeurIPS 2024Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
177. NeurIPS 2024Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
178. NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
179. NeurIPS 2024Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
180. NeurIPS 2024Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
181. NeurIPS 2024Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
182. NeurIPS 2024MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
183. NeurIPS 2024MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
184. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
185. NeurIPS 2024MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
186. NeurIPS 2024MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
187. NeurIPS 2024MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
188. NeurIPS 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
189. NeurIPS 2024MotionBooth: Motion-Aware Customized Text-to-Video Generation
190. NeurIPS 2024MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions
191. NeurIPS 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
192. NeurIPS 2024Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
193. NeurIPS 2024Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
194. NeurIPS 2024Neural Cover Selection for Image Steganography
195. NeurIPS 2024Neural Residual Diffusion Models for Deep Scalable Vision Generation
196. NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
197. NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
198. NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
199. NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
200. NeurIPS 2024On the Noise Robustness of In-Context Learning for Text 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.