Deep learning · generative models and autoencoders papers, 2023–2026

Key findings

• Deep learning · generative models and autoencoders went from 1,216 papers in 2023 to 1,430 in 2026, roughly 1.2x in three years.
• NeurIPS publishes the most Deep learning · generative models and autoencoders work: 1,714 papers from 2023 to 2026, 40% of the four-venue total.
• The fastest-growing overlap is with Image Generation: papers tagged with both rose from 35 in 2023 to 150 in 2026.
• Among the 11 topics under Deep Learning, it ranks #2 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Critical $\beta$-Scale for Posterior Collapse in Dirichlet $\beta$-VAEs
• ICML 2026(1D) Ordered Tokens Enable Efficient Test-Time Search
• ICLR 2026``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
• CVPR 2026Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
• NeurIPS 2025Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
• ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
• ICLR 2025A Watermark for Order-Agnostic Language Models
• CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
• NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
• ICML 2024A Fixed-Point Approach for Causal Generative Modeling
• ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
• ICLR 2023Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
• CVPR 20233D GAN Inversion With Facial Symmetry Prior
• NeurIPS 2026Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
• ICML 2026$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
• ICLR 2026Analyzing and Evaluating Unbiased Language Model Watermark
• CVPR 2026Bidirectional Normalizing Flow From Data to Noise and Back

All Deep learning · generative models and autoencoders papers

110 papers, page 2 of 3

51. CVPR 2025Generative Video Propagation
52. CVPR 2025GENIUS: A Generative Framework for Universal Multimodal Search
53. CVPR 2025GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors
54. CVPR 2025GIF: Generative Inspiration for Face Recognition at Scale
55. CVPR 2025Goku: Flow Based Video Generative Foundation Models
56. CVPR 2025Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
57. CVPR 2025GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
58. CVPR 2025HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
59. CVPR 2025IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
60. CVPR 2025IDEA-Bench: How Far are Generative Models from Professional Designing?
61. CVPR 2025Interpretable Generative Models through Post-hoc Concept Bottlenecks
62. CVPR 2025K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
63. CVPR 2025K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
64. CVPR 2025Learning Visual Generative Priors without Text
65. CVPR 2025LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
66. CVPR 2025LT3SD: Latent Trees for 3D Scene Diffusion
67. CVPR 2025LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting
68. CVPR 2025MARBLE: Material Recomposition and Blending in CLIP-Space
69. CVPR 2025MEGA: Masked Generative Autoencoder for Human Mesh Recovery
70. CVPR 2025MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos
71. CVPR 2025MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
72. CVPR 2025MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
73. CVPR 2025NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
74. CVPR 2025ObjectMover: Generative Object Movement with Video Prior
75. CVPR 2025Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
76. CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks
77. CVPR 2025OSDFace: One-Step Diffusion Model for Face Restoration
78. CVPR 2025ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
79. CVPR 2025PERSE: Personalized 3D Generative Avatars from A Single Portrait
80. CVPR 2025Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
81. CVPR 2025PhysAnimator: Physics-Guided Generative Cartoon Animation
82. CVPR 2025PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
83. CVPR 2025POMP: Physics-consistent Motion Generative Model through Phase Manifolds
84. CVPR 2025PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing
85. CVPR 2025Revisiting Generative Replay for Class Incremental Object Detection
86. CVPR 2025RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
87. CVPR 2025RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
88. CVPR 2025SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
89. CVPR 2025Segment Any-Quality Images with Generative Latent Space Enhancement
90. CVPR 2025SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
91. CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
92. CVPR 2025Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
93. CVPR 2025Symbolic Representation for Any-to-Any Generative Tasks
94. CVPR 2025Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
95. CVPR 2025Tiled Diffusion
96. CVPR 2025Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
97. CVPR 2025Towards Smart Point-and-Shoot Photography
98. CVPR 2025Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
99. CVPR 2025Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
100. CVPR 2025UnCommon Objects in 3D

FAQ

How many Deep learning · generative models and autoencoders papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

4,314 in total: 1,216 in 2023, 768 in 2024, 900 in 2025, 1,430 in 2026.

How many Deep learning · generative models and autoencoders papers are at NeurIPS 2026?

NeurIPS 2026 has 349 Deep learning · generative models and autoencoders papers, versus 240 the year before.

How many Deep learning · generative models and autoencoders papers are at ICLR 2026?

ICLR 2026 has 303 Deep learning · generative models and autoencoders papers, versus 275 the year before.

How many Deep learning · generative models and autoencoders papers are at ICML 2026?

ICML 2026 has 604 Deep learning · generative models and autoencoders papers, versus 275 the year before.

How many Deep learning · generative models and autoencoders papers are at CVPR 2026?

CVPR 2026 has 174 Deep learning · generative models and autoencoders papers, versus 110 the year before.

Which conference publishes the most Deep learning · generative models and autoencoders papers?

NeurIPS, with 1,714 papers from 2023 to 2026.