Generative Flows papers, 2023–2026

Key findings

• Generative Flows went from 73 papers in 2023 to 139 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Generative Flows work: 130 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 1 in 2023 to 5 in 2026.
• Among the 5 topics under Probabilistic and Bayesian, it ranks #3 by 2026 paper count; the fastest grower in the group, Gaussian Processes, is up 2.2x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
• ICML 2026Learning-to-Optimize via Deep Unfolded Flows
• ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
• CVPR 2026AnchorFlow Training-Free 3D Editing via Latent Anchor-Aligned Flows
• NeurIPS 2025Amortized Sampling with Transferable Normalizing Flows
• ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
• ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
• CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
• NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
• ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
• ICLR 2024Fast and unified path gradient estimators for normalizing flows
• CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
• NeurIPS 2023Canonical normalizing flows for manifold learning
• ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
• ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
• CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
• NeurIPS 2026From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
• ICML 2026Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
• ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
• CVPR 2026BUSSARD Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection

All Generative Flows papers

82 papers, page 2 of 2

51. CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
52. CVPR 2024DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
53. CVPR 2024En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
54. CVPR 2024G3DR: Generative 3D Reconstruction in ImageNet
55. CVPR 2024Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
56. CVPR 2024Generative Multimodal Models are In-Context Learners
57. CVPR 2024Generative Powers of Ten
58. CVPR 2024Generative Quanta Color Imaging
59. CVPR 2024Generative Unlearning for Any Identity
60. CVPR 2024Learning Large-Factor EM Image Super-Resolution with Generative Priors
61. CVPR 2024MaskPLAN: Masked Generative Layout Planning from Partial Input
62. CVPR 2024MMM: Generative Masked Motion Model
63. CVPR 2024Mosaic-SDF for 3D Generative Models
64. CVPR 2024NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows
65. CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
66. CVPR 2024Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
67. CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
68. CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
69. CVPR 2024Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
70. CVPR 2024Would Deep Generative Models Amplify Bias in Future Models?
71. CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
72. CVPR 2023FlowGrad: Controlling the Output of Generative ODEs With Gradients
73. CVPR 2023GaitGCI: Generative Counterfactual Intervention for Gait Recognition
74. CVPR 2023GANHead: Towards Generative Animatable Neural Head Avatars
75. CVPR 2023Generalizing Dataset Distillation via Deep Generative Prior
76. CVPR 2023Generative Semantic Segmentation
77. CVPR 2023Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
78. CVPR 2023Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
79. CVPR 2023Persistent Nature: A Generative Model of Unbounded 3D Worlds
80. CVPR 2023PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow
81. CVPR 2023RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models
82. CVPR 2023SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

FAQ

How many Generative Flows papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

429 in total: 73 in 2023, 98 in 2024, 119 in 2025, 139 in 2026.

How many Generative Flows papers are at NeurIPS 2026?

NeurIPS 2026 has 46 Generative Flows papers, versus 37 the year before.

How many Generative Flows papers are at ICLR 2026?

ICLR 2026 has 37 Generative Flows papers, versus 35 the year before.

How many Generative Flows papers are at ICML 2026?

ICML 2026 has 32 Generative Flows papers, versus 25 the year before.

How many Generative Flows papers are at CVPR 2026?

CVPR 2026 has 24 Generative Flows papers, versus 22 the year before.

Which conference publishes the most Generative Flows papers?

NeurIPS, with 130 papers from 2023 to 2026.