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 336 篇，第 4 / 7 页
- ICLR 2026Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models
- ICLR 2026Anime-Ready: Controllable 3D Anime Character Generation with Body-Aligned Component-Wise Garment Modeling
- ICLR 2026AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
- ICLR 2026AudioX: A Unified Framework for Anything-to-Audio Generation
- ICLR 2026Aurelius: Relation Aware Text-to-Audio Generation At Scale
- ICLR 2026Autoregressive Image Generation with Randomized Parallel Decoding
- ICLR 2026Autoregressive Visual Decoding from EEG Signals
- ICLR 2026AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
- ICLR 2026BAR: Refactor the Basis of Autoregressive Visual Generation
- ICLR 2026Captain Cinema: Towards Short Movie Generation
- ICLR 2026CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration
- ICLR 2026COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning
- ICLR 2026Compositional Visual Planning via Inference-Time Diffusion Scaling
- ICLR 2026CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual Generation
- ICLR 2026D-AR: Diffusion via Autoregressive Models
- ICLR 2026DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies
- ICLR 2026EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive Model
- ICLR 2026Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention
- ICLR 2026From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
- ICLR 2026Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training
- ICLR 2026Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling
- ICLR 2026GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
- ICLR 2026Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation
- ICLR 2026InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
- ICLR 2026JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
- ICLR 2026JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization
- ICLR 2026JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation
- ICLR 2026K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
- ICLR 2026Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
- ICLR 2026Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control
- ICLR 2026LongLive: Real-time Interactive Long Video Generation
- ICLR 2026Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
- ICLR 2026MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning
- ICLR 2026Next Visual Granularity Generation
- ICLR 2026PerfGuard: A Performance-Aware Agent for Visual Content Generation
- ICLR 2026PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
- ICLR 2026Product of Experts for Visual Generation
- ICLR 2026Projected Coupled Diffusion for Test-Time Constrained Joint Generation
- ICLR 2026PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
- ICLR 2026Pyramid Patchification Flow for Visual Generation
- ICLR 2026Q&C: When Quantization Meets Cache in Efficient Generation
- ICLR 2026reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization
- ICLR 2026Reconciling Visual Perception and Generation in Diffusion Models
- ICLR 2026ReDDiT: Rehashing Noise for Discrete Visual Generation
- ICLR 2026ReLaSH: Reconstructing Joint Latent Spaces for Efficient Generation of Synthetic Hypergraphs with Hyperlink Attributes
- ICLR 2026RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
- ICLR 2026Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
- ICLR 2026Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
- ICLR 2026Self-Augmented Visual Contrastive Decoding
- ICLR 2026Shift-and-Sum Quantization for Visual Autoregressive 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。