多模态大模型论文趋势 2023–2026

视觉语言模型、图像/视频理解与生成式多模态基础模型

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 11,209 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

多模态大模型论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234331381465091,226
20244463213236261,716
20251,0748163907953,075
20261,3661,4011,0511,3745,192

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部多模态大模型论文

共 11,207 篇,第 209 / 225 页

  1. CVPR 2023Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
  2. CVPR 2023Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
  3. CVPR 2023Semantic Prompt for Few-Shot Image Recognition
  4. CVPR 2023SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation
  5. CVPR 2023Semidefinite Relaxations for Robust Multiview Triangulation
  6. CVPR 2023ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations
  7. CVPR 2023Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
  8. CVPR 2023Siamese Image Modeling for Self-Supervised Vision Representation Learning
  9. CVPR 2023Side Adapter Network for Open-Vocabulary Semantic Segmentation
  10. CVPR 2023Similarity Metric Learning for RGB-Infrared Group Re-Identification
  11. CVPR 2023SimpleNet: A Simple Network for Image Anomaly Detection and Localization
  12. CVPR 2023Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
  13. CVPR 2023Soft Augmentation for Image Classification
  14. CVPR 2023Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
  15. CVPR 2023Spatial-Frequency Mutual Learning for Face Super-Resolution
  16. CVPR 2023Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
  17. CVPR 2023Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
  18. CVPR 2023Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image
  19. CVPR 2023Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation
  20. CVPR 2023Spectral Bayesian Uncertainty for Image Super-Resolution
  21. CVPR 2023Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
  22. CVPR 2023Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
  23. CVPR 2023Streaming Video Model
  24. CVPR 2023Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising
  25. CVPR 2023Structured Kernel Estimation for Photon-Limited Deconvolution
  26. CVPR 2023Structured Sparsity Learning for Efficient Video Super-Resolution
  27. CVPR 2023StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping
  28. CVPR 2023StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN
  29. CVPR 2023SVFormer: Semi-Supervised Video Transformer for Action Recognition
  30. CVPR 2023SViTT: Temporal Learning of Sparse Video-Text Transformers
  31. CVPR 2023TarViS: A Unified Approach for Target-Based Video Segmentation
  32. CVPR 2023Task Residual for Tuning Vision-Language Models
  33. CVPR 2023Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
  34. CVPR 2023Teaching Structured Vision & Language Concepts to Vision & Language Models
  35. CVPR 2023Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation
  36. CVPR 2023Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
  37. CVPR 2023Texts as Images in Prompt Tuning for Multi-Label Image Recognition
  38. CVPR 2023The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
  39. CVPR 2023TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
  40. CVPR 2023TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models
  41. CVPR 2023Top-Down Visual Attention From Analysis by Synthesis
  42. CVPR 2023TopNet: Transformer-Based Object Placement Network for Image Compositing
  43. CVPR 2023Toward Accurate Post-Training Quantization for Image Super Resolution
  44. CVPR 2023Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
  45. CVPR 2023Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
  46. CVPR 2023Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method
  47. CVPR 2023Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval
  48. CVPR 2023Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
  49. CVPR 2023Towards Scalable Neural Representation for Diverse Videos
  50. CVPR 2023Towards Universal Fake Image Detectors That Generalize Across Generative Models

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查多模态大模型在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "multimodal-llms"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇多模态大模型论文?
共 11,209 篇,按年份分别是 2023 年 1,226 篇、2024 年 1,716 篇、2025 年 3,075 篇、2026 年 5,192 篇。
NeurIPS 2026 有多少篇多模态大模型论文?
NeurIPS 2026 有 1,366 篇多模态大模型论文,上一届是 1,074 篇。
ICLR 2026 有多少篇多模态大模型论文?
ICLR 2026 有 1,401 篇多模态大模型论文,上一届是 816 篇。
ICML 2026 有多少篇多模态大模型论文?
ICML 2026 有 1,051 篇多模态大模型论文,上一届是 390 篇。
CVPR 2026 有多少篇多模态大模型论文?
CVPR 2026 有 1,374 篇多模态大模型论文,上一届是 795 篇。
哪个会议的多模态大模型论文最多?
NeurIPS,2023–2026 年共 3,319 篇。

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