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

1,721 papers, page 27 of 35

1301. NeurIPS 2026Are we really tilting? The mechanics of reward guidance in flow and diffusion models
1302. NeurIPS 2026ASAP: Attention Sink Anchored Pruning
1303. NeurIPS 2026Ask-E: An Environment for Calibrated Question Generation
1304. NeurIPS 2026Assessing Sample Quality in Conditional Generation under Compositional Shift
1305. NeurIPS 2026AsymPipe: Accelerating Large-scale DiTs Image Editing via Asymmetry-Aware Pipeline Parallelism
1306. NeurIPS 2026Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
1307. NeurIPS 2026BalCapRL : A Balanced Framework for RL-Based MLLM Image Captioning
1308. NeurIPS 2026Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers
1309. NeurIPS 2026Beckmann Transport Models: From Autonomous Flows to One-Step Maps
1310. NeurIPS 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
1311. NeurIPS 2026Beyond Bit Matching: Orthogonal Watermarks for Collusion-Resistant Image Fingerprinting
1312. NeurIPS 2026Beyond Empirical Support: Structured Outlier Generation via Sinkhorn Optimal Transport
1313. NeurIPS 2026Beyond Flat Walks: Compositional Abstraction for Autoregressive Graph Generation
1314. NeurIPS 2026Beyond Generation: Unlocking Discriminative Representations from Diffusion Models
1315. NeurIPS 2026Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration
1316. NeurIPS 2026Beyond Stabilization: Dual-EMA Teachers for Global–Local Semantic Learning in Semi-Supervised Medical Image Segmentation
1317. NeurIPS 2026Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Image Generation
1318. NeurIPS 2026Beyond Unidirectional: Unsupervised Trajectory Learning for Omnidirectional Controllable Underwater Image Enhancement
1319. NeurIPS 2026BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors
1320. NeurIPS 2026BigCell: Generating Gigapixel Whole-Slide Images
1321. NeurIPS 2026BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
1322. NeurIPS 2026BitDance: Scaling Autoregressive Generative Models with Binary Tokens
1323. NeurIPS 2026BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting
1324. NeurIPS 2026Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
1325. NeurIPS 2026Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation
1326. NeurIPS 2026Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
1327. NeurIPS 2026Bound-Conditioned Latent Inference for Progressive Image Compression
1328. NeurIPS 2026Breaking Noise Shortcuts in Self-Supervised Learning via Noise-Aligned View Generation
1329. NeurIPS 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
1330. NeurIPS 2026BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization
1331. NeurIPS 2026Bridging Image Restoration and Recognition via Causal Mediated Unrolling
1332. NeurIPS 2026Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
1333. NeurIPS 2026Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization
1334. NeurIPS 2026Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
1335. NeurIPS 2026Character Mixing for Video Generation
1336. NeurIPS 2026CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
1337. NeurIPS 2026Class Adaptive Conformal Training
1338. NeurIPS 2026CLeaR: A Unified Framework for Resolving the Leakage–Degradation Dilemma in Style Transfer
1339. NeurIPS 2026Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation
1340. NeurIPS 2026CoilStellaration: A Dataset and Benchmark for Engineering-Aware Stellarator Coilset Generation
1341. NeurIPS 2026CoLa3D: Composable Latent 3D Decomposition
1342. NeurIPS 2026COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation
1343. NeurIPS 2026ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
1344. NeurIPS 2026Colored Noise Diffusion Sampling
1345. NeurIPS 2026CompJudge: Fine-Grained Comparative Evaluation using Multimodal LLM for Subject-Driven Generation
1346. NeurIPS 2026Complementing DINO Features with Image Structure for Part Discovery
1347. NeurIPS 2026Computational Depth Predicts Quantization Sensitivity in Multimodal Models
1348. NeurIPS 2026Conformal Cache: Reliable Proxy-Discrepancy Caching for Fast Generative Inference
1349. NeurIPS 2026Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning
1350. NeurIPS 2026Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties

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.