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 92 篇，第 2 / 2 页

51. CVPR 2023The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
52. CVPR 2023Towards Bridging the Performance Gaps of Joint Energy-Based Models
53. CVPR 2023Towards Effective Visual Representations for Partial-Label Learning
54. CVPR 2023Unbiased Scene Graph Generation in Videos
55. CVPR 2023Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge
56. CVPR 2023Vision Transformers Are Parameter-Efficient Audio-Visual Learners
57. CVPR 2023Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention
58. CVPR 2023Visual Localization Using Imperfect 3D Models From the Internet
59. CVPR 2023Visual Prompt Tuning for Generative Transfer Learning
60. CVPR 2023Visual Recognition by Request
61. CVPR 2023VQACL: A Novel Visual Question Answering Continual Learning Setting
62. ICLR 2023AudioGen: Textually Guided Audio Generation
63. ICLR 2023Brain-like representational straightening of natural movies in robust feedforward neural networks
64. ICLR 2023Contrastive Audio-Visual Masked Autoencoder
65. ICLR 2023EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
66. ICLR 2023Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation
67. ICLR 2023Learning to Decompose Visual Features with Latent Textual Prompts
68. ICLR 2023Learning to reason over visual objects
69. ICLR 2023Make-A-Video: Text-to-Video Generation without Text-Video Data
70. ICLR 2023Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
71. ICLR 2023Visual Imitation Learning with Patch Rewards
72. ICML 2023A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
73. ICML 2023Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
74. ICML 2023Patch-level Contrastive Learning via Positional Query for Visual Pre-training
75. ICML 2023Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues
76. ICML 2023SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
77. ICML 2023Towards credible visual model interpretation with path attribution
78. NeurIPS 20234D Panoptic Scene Graph Generation
79. NeurIPS 2023AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
80. NeurIPS 2023ClusterFomer: Clustering As A Universal Visual Learner
81. NeurIPS 2023Collaborative Score Distillation for Consistent Visual Editing
82. NeurIPS 2023Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
83. NeurIPS 2023Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
84. NeurIPS 2023GlyphControl: Glyph Conditional Control for Visual Text Generation
85. NeurIPS 2023High-Fidelity Audio Compression with Improved RVQGAN
86. NeurIPS 2023Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
87. NeurIPS 2023Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
88. NeurIPS 2023STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
89. NeurIPS 2023UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
90. NeurIPS 2023Visual Instruction Tuning
91. NeurIPS 2023Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation
92. NeurIPS 2023Weakly-Supervised Audio-Visual Segmentation

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。