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 183 篇,第 2 / 4 页
- NeurIPS 2026RAO-Nav: Probing Omni-Language Models for Zero-shot Semantic Audio-Visual Navigation
- NeurIPS 2026RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
- NeurIPS 2026Referring and Reasoning Camouflaged Object Segmentation in Audio-Visual Scenes
- NeurIPS 2026RefineTok: Scale-Wise Tokenization for Progressive Visual Refinement
- NeurIPS 2026RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
- NeurIPS 2026RelationVGGT : Visual Geometry Transformers for 3D Spatial Relation Segmentation
- NeurIPS 2026Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation
- NeurIPS 2026Representation Fréchet Loss for Visual Generation
- NeurIPS 2026RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models
- NeurIPS 2026SceneShifter: Training-free Multi-Scene Temporal Control for Audio-driven Human Animation
- NeurIPS 2026Shaping Useful Noise: Energy Distributions Predict Visual Pretraining Quality
- NeurIPS 2026Shift-Aware Identity-Guided Latent Refinement for Referring Audio–Visual Segmentation
- NeurIPS 2026Simple Test-Time Refinement for Plot-to-Code Generation via Visual-Code Diagnostics
- NeurIPS 2026SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows
- NeurIPS 2026ST-DiffEye: Diffusion-based Continuous Gaze Generation via Joint Scanpath-Trajectory Modeling
- NeurIPS 2026StableAvatar: Ultra-Long Audio-Driven Avatar Video Generation
- NeurIPS 2026TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows
- NeurIPS 2026Test-Time Conditioning with Representation-Aligned Visual Features
- NeurIPS 2026To Think or Not to Think: Pre-Decisional Reasoning Budgets for Referring Audio-Visual Segmentation
- NeurIPS 2026Towards Visual Query Segmentation in the Wild
- NeurIPS 2026V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation
- NeurIPS 2026VAR-Q: Tuning-free KV Cache Quantization for Visual Autoregressive Image and Video Generation
- NeurIPS 2026VeriWorld: A Verifiable Visual SWE-Bench for Spatial Reasoning in 3D Environments
- NeurIPS 2026VIGOR: Visual Gain Ordering for Hallucination Mitigation in Multimodal Discrete Diffusion Language Models
- NeurIPS 2026Vision Correlators: Correlation-Driven Visual Understanding with Hypergraphs
- NeurIPS 2026VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic Model
- NeurIPS 2026VisionCreator-S1: Evolving Visual-Generation Agents via Skill-GRPO Optimization
- NeurIPS 2026VistaQA: Benchmarking Joint Visual Question Answering and Pixel-Level Evidence
- NeurIPS 2026Visual-to-Executable Procedural Reconstruction of Buildings.
- NeurIPS 2026VLMs Trace Without Tracking: Diagnosing Failures in Visual Path Following
- NeurIPS 2026VUM: Visual Unified Models for Image Generation and Perception
- NeurIPS 2026WaveGen: Truly End-to-End Waveform Generation via Internal Spectral Trajectory Learning
- NeurIPS 2026What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
- NeurIPS 2026Who Says What: Symbolic Trimodal Binding Mechanisms in Audio-Visual LLMs
- NeurIPS 2025🎧MOSPA: Human Motion Generation Driven by Spatial Audio
- NeurIPS 2025$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
- NeurIPS 2025Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
- NeurIPS 2025ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
- NeurIPS 2025Audio Super-Resolution with Latent Bridge Models
- NeurIPS 2025Audio-Sync Video Generation with Multi-Stream Temporal Control
- NeurIPS 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
- NeurIPS 2025BNMusic: Blending Environmental Noises into Personalized Music
- NeurIPS 2025Bridging the gap to real-world language-grounded visual concept learning
- NeurIPS 2025CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
- NeurIPS 2025DAVE: Diagnostic benchmark for Audio Visual Evaluation
- NeurIPS 2025Differentiable Hierarchical Visual Tokenization
- NeurIPS 2025DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
- NeurIPS 2025Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
- NeurIPS 2025FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
- NeurIPS 2025FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
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。