视听生成论文趋势 2023–2026
联合生成
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 780 篇被归入该主题的论文。
主要结论
- 视听生成论文从 2023 年的 92 篇增长到 2026 年的 336 篇，三年间扩大到约 3.7 倍。
- CVPR 是发视听生成论文最多的会议，2023–2026 年共 383 篇，占四个会议总量的 49%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 79 篇。
- 在「多模态生成」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的叙事生成是 15 倍，视听生成是 3.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 15 | 10 | 6 | 61 | 92 |
| 2024 | 27 | 25 | 19 | 60 | 131 |
| 2025 | 57 | 32 | 19 | 113 | 221 |
| 2026 | 84 | 64 | 39 | 149 | 336 |
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
- NeurIPS 2026Binding Visual Features Point by Point
- ICML 2026AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
- ICLR 2026AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer
- CVPR 2026Benchmarking Single-Factor Physical Video-to-Audio Generation
- NeurIPS 2025$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
- ICML 2025Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
- ICLR 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
- CVPR 2025Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding
- NeurIPS 2024Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
- ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
- ICLR 2024Can Transformers Capture Spatial Relations between Objects?
- CVPR 2024EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning
- NeurIPS 20234D Panoptic Scene Graph Generation
- ICML 2023A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
- ICLR 2023Learning to reason over visual objects
- CVPR 2023Autoregressive Visual Tracking
- NeurIPS 2026From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation
- ICML 2026Deep Ensemble Clustering for Visual Representation Learning
- ICLR 2026AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
- CVPR 2026Co-Me Confidence Guided Token Merging for Visual Geometric Transformers
全部视听生成论文
共 61 篇，第 1 / 2 页
- CVPR 2023An Erudite Fine-Grained Visual Classification Model
- CVPR 2023Audio-Visual Grouping Network for Sound Localization From Mixtures
- CVPR 2023AutoAD: Movie Description in Context
- CVPR 2023Autoregressive Visual Tracking
- CVPR 2023AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
- CVPR 2023CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective
- CVPR 2023Class-Balancing Diffusion Models
- CVPR 2023Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception
- CVPR 2023Conditional Generation of Audio From Video via Foley Analogies
- CVPR 2023Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
- CVPR 2023Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
- CVPR 2023Diversity-Aware Meta Visual Prompting
- CVPR 2023Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
- CVPR 2023Egocentric Audio-Visual Object Localization
- CVPR 2023EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
- CVPR 2023Fast Contextual Scene Graph Generation With Unbiased Context Augmentation
- CVPR 2023Graph Transformer GANs for Graph-Constrained House Generation
- CVPR 2023Handwritten Text Generation From Visual Archetypes
- CVPR 2023Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy
- CVPR 2023Hyperbolic Contrastive Learning for Visual Representations Beyond Objects
- CVPR 2023ImageBind: One Embedding Space To Bind Them All
- CVPR 2023Improving Selective Visual Question Answering by Learning From Your Peers
- CVPR 2023iQuery: Instruments As Queries for Audio-Visual Sound Separation
- CVPR 2023IS-GGT: Iterative Scene Graph Generation With Generative Transformers
- CVPR 2023Joint Visual Grounding and Tracking With Natural Language Specification
- CVPR 2023KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation
- CVPR 2023Language Adaptive Weight Generation for Multi-Task Visual Grounding
- CVPR 2023Language-Guided Audio-Visual Source Separation via Trimodal Consistency
- CVPR 2023Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
- CVPR 2023Learning Rotation-Equivariant Features for Visual Correspondence
- CVPR 2023Learning Visual Representations via Language-Guided Sampling
- CVPR 2023Logical Implications for Visual Question Answering Consistency
- CVPR 2023Long-Term Visual Localization With Mobile Sensors
- CVPR 2023Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
- CVPR 2023Make-a-Story: Visual Memory Conditioned Consistent Story Generation
- CVPR 2023MetaCLUE: Towards Comprehensive Visual Metaphors Research
- CVPR 2023METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens
- CVPR 2023MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
- CVPR 2023OrienterNet: Visual Localization in 2D Public Maps With Neural Matching
- CVPR 2023Panoptic Video Scene Graph Generation
- CVPR 2023Patch-Based 3D Natural Scene Generation From a Single Example
- CVPR 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
- CVPR 2023Prototype-Based Embedding Network for Scene Graph Generation
- CVPR 2023PVO: Panoptic Visual Odometry
- CVPR 2023RILS: Masked Visual Reconstruction in Language Semantic Space
- CVPR 2023RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
- CVPR 2023Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
- CVPR 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
- CVPR 2023SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
- CVPR 2023Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
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 查视听生成在 CVPR 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": "audio-visual-generation"}
常见问题
- 2023–2026 年四大会议一共有多少篇视听生成论文？
- 共 780 篇，按年份分别是 2023 年 92 篇、2024 年 131 篇、2025 年 221 篇、2026 年 336 篇。
- NeurIPS 2026 有多少篇视听生成论文？
- NeurIPS 2026 有 84 篇视听生成论文，上一届是 57 篇。
- ICLR 2026 有多少篇视听生成论文？
- ICLR 2026 有 64 篇视听生成论文，上一届是 32 篇。
- ICML 2026 有多少篇视听生成论文？
- ICML 2026 有 39 篇视听生成论文，上一届是 19 篇。
- CVPR 2026 有多少篇视听生成论文？
- CVPR 2026 有 149 篇视听生成论文，上一届是 113 篇。
- 哪个会议的视听生成论文最多？
- CVPR，2023–2026 年共 383 篇。