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 692 篇，第 14 / 14 页
- ICLR 2023Interactive Portrait Harmonization
- ICLR 2023Mass-Editing Memory in a Transformer
- ICLR 2023Neural Groundplans: Persistent Neural Scene Representations from a Single Image
- ICLR 2023Neural Implicit Shape Editing using Boundary Sensitivity
- ICLR 2023PaLI: A Jointly-Scaled Multilingual Language-Image Model
- ICLR 2023PEER: A Collaborative Language Model
- ICLR 2023Prompt-to-Prompt Image Editing with Cross-Attention Control
- ICLR 2023The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
- ICLR 2023Transformer-Patcher: One Mistake Worth One Neuron
- ICML 2023Data Representations' Study of Latent Image Manifolds
- ICML 2023Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
- ICML 2023I$^2$SB: Image-to-Image Schrödinger Bridge
- ICML 2023Image Restoration with Mean-Reverting Stochastic Differential Equations
- ICML 2023Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
- ICML 2023Raising the Cost of Malicious AI-Powered Image Editing
- ICML 2023Random Shuffle Transformer for Image Restoration
- ICML 2023Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
- NeurIPS 2023A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
- NeurIPS 2023A Unified Conditional Framework for Diffusion-based Image Restoration
- NeurIPS 2023ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
- NeurIPS 2023Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
- NeurIPS 2023Collaborative Score Distillation for Consistent Visual Editing
- NeurIPS 2023Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
- NeurIPS 2023Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
- NeurIPS 2023Diffusion Self-Guidance for Controllable Image Generation
- NeurIPS 2023Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
- NeurIPS 2023Emergent Correspondence from Image Diffusion
- NeurIPS 2023Idempotent Learned Image Compression with Right-Inverse
- NeurIPS 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
- NeurIPS 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
- NeurIPS 2023Neural Lighting Simulation for Urban Scenes
- NeurIPS 2023OBJECT 3DIT: Language-guided 3D-aware Image Editing
- NeurIPS 2023Optimal Transport-Guided Conditional Score-Based Diffusion Model
- NeurIPS 2023PHOTOSWAP: Personalized Subject Swapping in Images
- NeurIPS 2023PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
- NeurIPS 2023Real-World Image Variation by Aligning Diffusion Inversion Chain
- NeurIPS 2023Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers”
- NeurIPS 2023Semantic Image Synthesis with Unconditional Generator
- NeurIPS 2023Subject-driven Text-to-Image Generation via Apprenticeship Learning
- NeurIPS 2023Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
- NeurIPS 2023The CLIP Model is Secretly an Image-to-Prompt Converter
- NeurIPS 2023Visual Instruction Inversion: Image Editing via Image 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。