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 780 篇,第 14 / 16 页
- ICML 2024Learning to Infer Generative Template Programs for Visual Concepts
- ICML 2024Non-confusing Generation of Customized Concepts in Diffusion Models
- ICML 2024Sample-specific Masks for Visual Reprogramming-based Prompting
- ICML 2024Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
- ICML 2024UniAudio: Towards Universal Audio Generation with Large Language Models
- ICML 2024UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers
- ICML 2024video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
- ICML 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
- ICML 2024VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
- ICML 2024Visual Representation Learning with Stochastic Frame Prediction
- ICML 2024Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
- NeurIPS 2024Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
- NeurIPS 2024AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting
- NeurIPS 2024Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
- NeurIPS 2024Biomedical Visual Instruction Tuning with Clinician Preference Alignment
- NeurIPS 2024Continual Audio-Visual Sound Separation
- NeurIPS 2024CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
- NeurIPS 2024DINTR: Tracking via Diffusion-based Interpolation
- NeurIPS 2024EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
- NeurIPS 2024FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
- NeurIPS 2024GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
- NeurIPS 2024Language Model as Visual Explainer
- NeurIPS 2024Learning from Pattern Completion: Self-supervised Controllable Generation
- NeurIPS 2024LocCa: Visual Pretraining with Location-aware Captioners
- NeurIPS 2024Mixtures of Experts for Audio-Visual Learning
- NeurIPS 2024MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
- NeurIPS 2024OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
- NeurIPS 2024Prediction with Action: Visual Policy Learning via Joint Denoising Process
- NeurIPS 2024Referencing Where to Focus: Improving Visual Grounding with Referential Query
- NeurIPS 2024Tell What You Hear From What You See - Video to Audio Generation Through Text
- NeurIPS 2024Towards Flexible Visual Relationship Segmentation
- NeurIPS 2024Towards Global Optimal Visual In-Context Learning Prompt Selection
- NeurIPS 2024Towards Visual Text Design Transfer Across Languages
- NeurIPS 2024VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
- NeurIPS 2024Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
- NeurIPS 2024Visual Pinwheel Centers Act as Geometric Saliency Detectors
- NeurIPS 2024VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
- NeurIPS 2024Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
- 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
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。