视听生成论文趋势 2023–2026

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。

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 131 篇，第 2 / 3 页

51. CVPR 2024VGGSfM: Visual Geometry Grounded Deep Structure From Motion
52. CVPR 2024VILA: On Pre-training for Visual Language Models
53. CVPR 2024ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
54. CVPR 2024VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
55. CVPR 2024Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
56. CVPR 2024Visual In-Context Prompting
57. CVPR 2024Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation
58. CVPR 2024VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation
59. CVPR 2024VRP-SAM: SAM with Visual Reference Prompt
60. CVPR 2024Weakly-Supervised Audio-Visual Video Parsing with Prototype-based Pseudo-Labeling
61. ICLR 2024Adapting to Distribution Shift by Visual Domain Prompt Generation
62. ICLR 2024Adaptive Self-training Framework for Fine-grained Scene Graph Generation
63. ICLR 2024AnyText: Multilingual Visual Text Generation and Editing
64. ICLR 2024AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
65. ICLR 2024Brain decoding: toward real-time reconstruction of visual perception
66. ICLR 2024Can Transformers Capture Spatial Relations between Objects?
67. ICLR 2024CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
68. ICLR 2024Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
69. ICLR 2024Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
70. ICLR 2024HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
71. ICLR 2024Label-Focused Inductive Bias over Latent Object Features in Visual Classification
72. ICLR 2024Language Model Beats Diffusion - Tokenizer is key to visual generation
73. ICLR 2024Language-Informed Visual Concept Learning
74. ICLR 2024Making LLaMA SEE and Draw with SEED Tokenizer
75. ICLR 2024Masked Audio Generation using a Single Non-Autoregressive Transformer
76. ICLR 2024OmniControl: Control Any Joint at Any Time for Human Motion Generation
77. ICLR 2024RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
78. ICLR 2024Retrieval is Accurate Generation
79. ICLR 2024RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
80. ICLR 2024ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
81. ICLR 2024SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
82. ICLR 2024Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
83. ICLR 2024Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
84. ICLR 2024VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
85. ICLR 2024Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models
86. ICML 2024An Independence-promoting Loss for Music Generation with Language Models
87. ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
88. ICML 2024Completing Visual Objects via Bridging Generation and Segmentation
89. ICML 2024Creative Text-to-Audio Generation via Synthesizer Programming
90. ICML 2024Disguised Copyright Infringement of Latent Diffusion Models
91. ICML 2024EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
92. ICML 2024From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation
93. ICML 2024IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation
94. ICML 2024Learning to Infer Generative Template Programs for Visual Concepts
95. ICML 2024Non-confusing Generation of Customized Concepts in Diffusion Models
96. ICML 2024Sample-specific Masks for Visual Reprogramming-based Prompting
97. ICML 2024Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
98. ICML 2024UniAudio: Towards Universal Audio Generation with Large Language Models
99. ICML 2024UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers
100. ICML 2024video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models

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。