图像编辑论文趋势 2023–2026
指令编辑
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 692 篇被归入该主题的论文。
主要结论
- 图像编辑论文从 2023 年的 112 篇增长到 2026 年的 238 篇，三年间扩大到约 2.1 倍。
- CVPR 是发图像编辑论文最多的会议，2023–2026 年共 364 篇，占四个会议总量的 53%。
- 交叉方向里涨得最快的是应用 · computer vision：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 15 篇。
- 在「多模态生成」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的叙事生成是 15 倍，图像编辑是 2.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 25 | 15 | 8 | 64 | 112 |
| 2024 | 33 | 24 | 13 | 90 | 160 |
| 2025 | 45 | 29 | 11 | 97 | 182 |
| 2026 | 52 | 40 | 33 | 113 | 238 |
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 2026Accelerated Image Editing via Consistency-Aware Source Token Pruning
- ICML 2026Klein Hyperbolic Metric Learning
- ICLR 2026DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
- CVPR 2026AnchorFlow Training-Free 3D Editing via Latent Anchor-Aligned Flows
- NeurIPS 2025A$^3$E: Towards Compositional Model Editing
- ICML 2025DEALing with Image Reconstruction: Deep Attentive Least Squares
- ICLR 2025HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
- CVPR 2025AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
- NeurIPS 2024Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"
- ICML 2024Counterfactual Image Editing
- ICLR 2024Guiding Instruction-based Image Editing via Multimodal Large Language Models
- CVPR 2024DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
- NeurIPS 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
- ICML 2023Random Shuffle Transformer for Image Restoration
- ICLR 2023Editing models with task arithmetic
- CVPR 20233D GAN Inversion With Facial Symmetry Prior
- NeurIPS 2026AnyBokeh: Physics-Guided Any-to-Any Bokeh Editing with Optical Fingerprint Transfer
- ICML 2026DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
- ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
- CVPR 2026ChordEdit One-Step Low-Energy Transport for Image Editing
全部图像编辑论文
共 182 篇，第 4 / 4 页
- NeurIPS 2025Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
- NeurIPS 2025Enhancing Consistency of Flow-Based Image Editing through Kalman Control
- NeurIPS 2025Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
- NeurIPS 2025Exploring Diffusion Transformer Designs via Grafting
- NeurIPS 2025FRN: Fractal-Based Recursive Spectral Reconstruction Network
- NeurIPS 2025FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
- NeurIPS 2025Image Editing As Programs with Diffusion Models
- NeurIPS 2025Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
- NeurIPS 2025ImgEdit: A Unified Image Editing Dataset and Benchmark
- NeurIPS 2025InstructRestore: Region-Customized Image Restoration with Human Instructions
- NeurIPS 2025KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models
- NeurIPS 2025LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
- NeurIPS 2025Model Editing for Vision Transformers
- NeurIPS 2025NEP: Autoregressive Image Editing via Next Editing Token Prediction
- NeurIPS 2025Neural-Driven Image Editing
- NeurIPS 2025One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
- NeurIPS 2025PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
- NeurIPS 2025PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors
- NeurIPS 2025Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
- NeurIPS 2025Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services
- NeurIPS 2025PIVNO: Particle Image Velocimetry Neural Operator
- NeurIPS 2025PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
- NeurIPS 2025Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
- NeurIPS 2025Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
- NeurIPS 2025Rethinking Residual Distribution in Locate-then-Edit Model Editing
- NeurIPS 2025Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
- NeurIPS 2025Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
- NeurIPS 2025SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing
- NeurIPS 2025Stratify or Die: Rethinking Data Splits in Image Segmentation
- NeurIPS 2025Towards Reliable Identification of Diffusion-based Image Manipulations
- NeurIPS 2025Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
- NeurIPS 2025VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions
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 查图像编辑在 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-editing"}
常见问题
- 2023–2026 年四大会议一共有多少篇图像编辑论文？
- 共 692 篇，按年份分别是 2023 年 112 篇、2024 年 160 篇、2025 年 182 篇、2026 年 238 篇。
- NeurIPS 2026 有多少篇图像编辑论文？
- NeurIPS 2026 有 52 篇图像编辑论文，上一届是 45 篇。
- ICLR 2026 有多少篇图像编辑论文？
- ICLR 2026 有 40 篇图像编辑论文，上一届是 29 篇。
- ICML 2026 有多少篇图像编辑论文？
- ICML 2026 有 33 篇图像编辑论文，上一届是 11 篇。
- CVPR 2026 有多少篇图像编辑论文？
- CVPR 2026 有 113 篇图像编辑论文，上一届是 97 篇。
- 哪个会议的图像编辑论文最多？
- CVPR，2023–2026 年共 364 篇。