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

900 papers, page 1 of 18

1. CVPR 2025AniDoc: Animation Creation Made Easier
2. CVPR 2025Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
3. CVPR 2025Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
4. CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
5. CVPR 2025Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
6. CVPR 2025Birth and Death of a Rose
7. CVPR 2025Black Hole-Driven Identity Absorbing in Diffusion Models
8. CVPR 2025BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
9. CVPR 2025CacheQuant: Comprehensively Accelerated Diffusion Models
10. CVPR 2025Camera Resection from Known Line Pencils and a Radially Distorted Scanline
11. CVPR 2025Can Generative Video Models Help Pose Estimation?
12. CVPR 2025Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes
13. CVPR 2025CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
14. CVPR 2025Color Alignment in Diffusion
15. CVPR 2025Condensing Action Segmentation Datasets via Generative Network Inversion
16. CVPR 2025Consistent and Controllable Image Animation with Motion Diffusion Models
17. CVPR 2025DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
18. CVPR 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Prior
19. CVPR 2025Detecting Adversarial Data Using Perturbation Forgery
20. CVPR 2025Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
21. CVPR 2025DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
22. CVPR 2025DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
23. CVPR 2025DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
24. CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
25. CVPR 2025Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
26. CVPR 2025Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
27. CVPR 2025Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
28. CVPR 2025EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion
29. CVPR 2025Erasing Undesirable Influence in Diffusion Models
30. CVPR 2025EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera
31. CVPR 2025Exploration-Driven Generative Interactive Environments
32. CVPR 2025Fingerprinting Denoising Diffusion Probabilistic Models
33. CVPR 2025Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
34. CVPR 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
35. CVPR 2025G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
36. CVPR 2025GCC: Generative Color Constancy via Diffusing a Color Checker
37. CVPR 2025GenAssets: Generating in-the-wild 3D Assets in Latent Space
38. CVPR 2025Generalizable Object Keypoint Localization from Generative Priors
39. CVPR 2025Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
40. CVPR 2025Generative Gaussian Splatting for Unbounded 3D City Generation
41. CVPR 2025Generative Hard Example Augmentation for Semantic Point Cloud Segmentation
42. CVPR 2025Generative Image Layer Decomposition with Visual Effects
43. CVPR 2025Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
44. CVPR 2025Generative Modeling of Class Probability for Multi-Modal Representation Learning
45. CVPR 2025Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
46. CVPR 2025Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variation
47. CVPR 2025Generative Omnimatte: Learning to Decompose Video into Layers
48. CVPR 2025Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
49. CVPR 2025Generative Photomontage
50. CVPR 2025Generative Sparse-View Gaussian Splatting

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.