图像生成论文趋势 2023–2026

文生图与图像合成

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,184 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

图像生成论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202317011874418780
20243181991565431,216
20254302781476121,467
20264533492306891,721

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

全部图像生成论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,216 篇，第 22 / 25 页

  1. NeurIPS 2024Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting
  2. NeurIPS 2024In Pursuit of Causal Label Correlations for Multi-label Image Recognition
  3. NeurIPS 2024Incentivizing Quality Text Generation via Statistical Contracts
  4. NeurIPS 2024INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
  5. NeurIPS 2024IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
  6. NeurIPS 2024Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
  7. NeurIPS 2024Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
  8. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
  9. NeurIPS 2024IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
  10. NeurIPS 2024Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
  11. NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
  12. NeurIPS 2024KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
  13. NeurIPS 2024L4GM: Large 4D Gaussian Reconstruction Model
  14. NeurIPS 2024Language Generation in the Limit
  15. NeurIPS 2024Language-Driven Interactive Traffic Trajectory Generation
  16. NeurIPS 2024Learning Group Actions on Latent Representations
  17. NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
  18. NeurIPS 2024Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
  19. NeurIPS 2024Learning predictable and robust neural representations by straightening image sequences
  20. NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
  21. NeurIPS 2024Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
  22. NeurIPS 2024LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
  23. NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
  24. NeurIPS 2024Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
  25. NeurIPS 2024Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
  26. NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
  27. NeurIPS 2024Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
  28. NeurIPS 2024Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
  29. NeurIPS 2024Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
  30. NeurIPS 2024MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
  31. NeurIPS 2024MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
  32. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
  33. NeurIPS 2024MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
  34. NeurIPS 2024MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
  35. NeurIPS 2024MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
  36. NeurIPS 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
  37. NeurIPS 2024MotionBooth: Motion-Aware Customized Text-to-Video Generation
  38. NeurIPS 2024MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions
  39. NeurIPS 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
  40. NeurIPS 2024Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
  41. NeurIPS 2024Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
  42. NeurIPS 2024Neural Cover Selection for Image Steganography
  43. NeurIPS 2024Neural Residual Diffusion Models for Deep Scalable Vision Generation
  44. NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
  45. NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
  46. NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
  47. NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
  48. NeurIPS 2024On the Noise Robustness of In-Context Learning for Text Generation
  49. NeurIPS 2024One-Step Diffusion Distillation through Score Implicit Matching
  50. NeurIPS 2024One-Step Effective Diffusion Network for Real-World Image Super-Resolution

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 查图像生成在 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": "image-generation"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇图像生成论文？
共 5,184 篇，按年份分别是 2023 年 780 篇、2024 年 1,216 篇、2025 年 1,467 篇、2026 年 1,721 篇。
NeurIPS 2026 有多少篇图像生成论文？
NeurIPS 2026 有 453 篇图像生成论文，上一届是 430 篇。
ICLR 2026 有多少篇图像生成论文？
ICLR 2026 有 349 篇图像生成论文，上一届是 278 篇。
ICML 2026 有多少篇图像生成论文？
ICML 2026 有 230 篇图像生成论文，上一届是 147 篇。
CVPR 2026 有多少篇图像生成论文？
CVPR 2026 有 689 篇图像生成论文，上一届是 612 篇。
哪个会议的图像生成论文最多？
CVPR，2023–2026 年共 2,262 篇。

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