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

466 papers, page 5 of 10

201. CVPR 2025Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
202. CVPR 2025EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion
203. CVPR 2025Erasing Undesirable Influence in Diffusion Models
204. CVPR 2025EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera
205. CVPR 2025Exploration-Driven Generative Interactive Environments
206. CVPR 2025Fingerprinting Denoising Diffusion Probabilistic Models
207. CVPR 2025Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
208. CVPR 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
209. CVPR 2025G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
210. CVPR 2025GCC: Generative Color Constancy via Diffusing a Color Checker
211. CVPR 2025GenAssets: Generating in-the-wild 3D Assets in Latent Space
212. CVPR 2025Generalizable Object Keypoint Localization from Generative Priors
213. CVPR 2025Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
214. CVPR 2025Generative Gaussian Splatting for Unbounded 3D City Generation
215. CVPR 2025Generative Hard Example Augmentation for Semantic Point Cloud Segmentation
216. CVPR 2025Generative Image Layer Decomposition with Visual Effects
217. CVPR 2025Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
218. CVPR 2025Generative Modeling of Class Probability for Multi-Modal Representation Learning
219. CVPR 2025Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
220. CVPR 2025Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variation
221. CVPR 2025Generative Omnimatte: Learning to Decompose Video into Layers
222. CVPR 2025Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
223. CVPR 2025Generative Photomontage
224. CVPR 2025Generative Sparse-View Gaussian Splatting
225. CVPR 2025Generative Video Propagation
226. CVPR 2025GENIUS: A Generative Framework for Universal Multimodal Search
227. CVPR 2025GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors
228. CVPR 2025GIF: Generative Inspiration for Face Recognition at Scale
229. CVPR 2025Goku: Flow Based Video Generative Foundation Models
230. CVPR 2025Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
231. CVPR 2025GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
232. CVPR 2025HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
233. CVPR 2025IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
234. CVPR 2025IDEA-Bench: How Far are Generative Models from Professional Designing?
235. CVPR 2025Interpretable Generative Models through Post-hoc Concept Bottlenecks
236. CVPR 2025K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
237. CVPR 2025K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
238. CVPR 2025Learning Visual Generative Priors without Text
239. CVPR 2025LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
240. CVPR 2025LT3SD: Latent Trees for 3D Scene Diffusion
241. CVPR 2025LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting
242. CVPR 2025MARBLE: Material Recomposition and Blending in CLIP-Space
243. CVPR 2025MEGA: Masked Generative Autoencoder for Human Mesh Recovery
244. CVPR 2025MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos
245. CVPR 2025MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
246. CVPR 2025MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
247. CVPR 2025NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
248. CVPR 2025ObjectMover: Generative Object Movement with Video Prior
249. CVPR 2025Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
250. CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks

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.