基本信息
仓库大小与活跃度
贡献统计
其他指标
GitHub Actions
应用
进展状态
主项目

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ICCV 2025论文：探索在ICCV 2025——顶级计算机视觉会议上发表的前沿研究论文的全面合集。及时了解计算机视觉和深度学习领域的最新进展。附带代码实现。为视觉智能的发展点亮星星吧！

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[!提示] ICCV 2025会议日程在线版，包含了所有被接受的完整论文列表、它们的报告顺序以及指定的报告时间。

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其他最佳AI会议合集

[!重要] 会议表格将始终保持最新更新。

会议	年份
	2023	2024	2025
计算机视觉（CV）
CVPR
ICCV
ECCV
WACV	:heavy_minus_sign:
FG	:heavy_minus_sign:
语音/信号处理（SP/SigProc）
ICASSP
INTERSPEECH
ISMIR		:heavy_minus_sign:	:heavy_minus_sign:
自然语言处理（NLP）
EMNLP
机器学习（ML）
AAAI	:heavy_minus_sign:
ICLR	:heavy_minus_sign:
ICML	:heavy_minus_sign:
NeurIPS	:heavy_minus_sign:

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贡献者

[!NOTE] 非常感谢您为完善本列表所做的贡献。如果您发现了任何被遗漏的论文，请随时创建拉取请求、提交 issue 或通过电子邮件与我联系。您的参与对于使这个仓库更加完善至关重要。

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论文-2025

板块	论文
主会场
口头报告
多模态学习
结构与运动
高效学习
视图合成与场景重建
基础模型与表示学习
人体建模
3D姿态理解
视觉+图形学
应用与评估
内容生成
物理场景感知
分割与分组
海报展示
Session 1
Session 2		即将添加
Session 3
Session 4
Session 5
Session 6

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论文-2023

Section	Papers
Main
3D from Multi-View and Sensors
Adversarial Attack and Defense
Vision and Robotics
Vision and Graphics
Segmentation, Grouping and Shape Analysis
Recognition: Categorization
Explainable AI for CV
Neural Generative Models
Vision and Language
Vision, Graphics, and Robotics
Privacy, Security, Fairness, and Explainability
Fairness, Privacy, Ethics, Social-good, Transparency, Accountability in Vision
First Person (Egocentric) Vision
Representation Learning
Deep Learning Architectures and Techniques
Recognition: Detection
Image and Video Synthesis
Vision and Audio
Recognition, Segmentation, and Shape Analysis
Generative AI
Humans, 3D Modeling, and Driving
Low-Level Vision and Theory
Navigation and Autonomous Driving
3D from a Single Image and Shape-from-X
Motion Estimation, Matching and Tracking
Action and Event Understanding
Computational Imaging
Embodied Vision: Active Agents, Simulation
Recognition: Retrieval
Transfer, Low-Shot, Continual, Long-Tail Learning
Low-Level and Physics-based Vision
Computer Vision Theory
Video Analysis and Understanding
Object Pose Estimation and Tracking
3D Shape Modeling and Processing
Human Pose/Shape Estimation
Transfer, Low-Shot, and Continual Learning
Self-, Semi-, and Unsupervised Learning
Self-, Semi-, Meta-, Unsupervised Learning
Photogrammetry and Remote Sensing
Efficient and Scalable Vision
Machine Learning (other than Deep Learning)
Document Analysis and Understanding
Biometrics
Datasets and Evaluation
Faces and Gestures
Medical and Biological Vision; Cell Microscopy
Scene Analysis and Understanding
Multimodal Learning
Human-in-the-Loop Computer Vision
Image and Video Forensics
Geometric Deep Learning
Vision Applications and Systems
Machine Learning and Dataset
Workshops
1st Workshop on Scene Graphs and Graph Representation Learning
4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop
What is Next in Multimodal Foundation Models?
Workshop and Challenge on DeepFake Analysis and Detection
8th Workshop on Computer Vision in Plant Phenotyping and Agriculture
Workshop on New Ideas in Vision Transformers
Representation Learning with very Limited Images: The Potential of Self-, Synthetic- and Formula-Supervision
To NeRF or not to NeRF: A View Synthesis Challenge for Human Heads
Workshop on Resource Efficient Deep Learning for Computer Vision	Will soon be added
1st Workshop on Computer Vision Aided Architectural Design
4th Workshop on Electronic Cultural Heritage
Solving CAD History and pArameters Recovery from Point Clouds and 3D Scans
Visual Object Tracking and Segmentation Challenge
11th Workshop on Assistive Computer Vision and Robotics
1st Workshop on Open-Vocabulary 3D Scene Understanding
Recovering 6D Object Pose
Visual Perception for Navigation in Human Environments: The JackRabbot Human Motion Forecasting Dataset and Benchmark
Women in Computer Vision
2nd Workshop on Computer Vision for Automated Medical Diagnosis
5th Workshop on Closing the Loop Between Vision and Language
AI for 3D Content Creation
AI for Creative Video Editing and Understanding
Artificial Social Intelligence Workshop and Challenge
International Workshop on Analysis and Modeling of Faces and Gestures
2nd ROAD workshop and Challenge: Event Detection for Situation Awareness in Autonomous Driving
Visual Continual Learning
Workshop on Adversarial Robustness in the Real World
Artificial Intelligence for Humanitarian Assistance and Disaster Response
BioImage Computing Workshop
Robustness and Reliability of Autonomous Vehicles in the Open-World
LatinX in AI Research Workshop
2nd Computer Vision for Metaverse Workshop
2nd Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision
Uncertainty Estimation for Computer Vision
Vision-and-Language Algorithmic Reasoning Workshop	Will soon be added

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关键术语

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星标历史

ICCV-2023-25-Papers 快速上手指南

本仓库是一个精选合集，收录了计算机视觉顶级会议 ICCV（2023 年及 2025 年）的论文列表。它提供了论文的标题、链接以及对应的代码实现（如有），旨在帮助开发者快速追踪前沿视觉智能研究。

注意：本项目主要为论文索引列表（Awesome List），而非一个需要编译运行的软件库。因此，“安装”步骤实为获取资源的方法，“使用”即为浏览和查找论文代码。

环境准备

本项目无特殊的系统或依赖要求，仅需具备以下基础环境即可访问和使用：

• 操作系统：Windows, macOS, Linux 均可。
• 必备工具：
  • Web 浏览器（推荐 Chrome, Edge, Firefox）。
  • Git（可选，用于克隆仓库到本地）。
  • GitHub 账号（可选，用于 Star 收藏或提交 PR）。

安装步骤（获取资源）

你可以通过以下两种方式获取论文列表：

方式一：在线浏览（推荐）

直接访问 GitHub 仓库页面或配套的 Hugging Face 应用，无需任何安装。

• GitHub 仓库主页： https://github.com/DmitryRyumin/ICCV-2023-25-Papers
• 交互式应用 (NewEraAI-Papers)： https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers

方式二：克隆到本地

如果你希望离线查看或在本地进行贡献，可以使用 Git 克隆：

git clone https://github.com/DmitryRyumin/ICCV-2023-25-Papers.git
cd ICCV-2023-25-Papers

基本使用

1. 查找特定论文

在仓库的 README.md 文件中，论文已按会议年份（ICCV 2023 / ICCV 2025）分类整理。

• 浏览列表：向下滚动阅读 Markdown 表格，包含论文标题、作者及摘要链接。
• 搜索内容：
  • 网页端：使用浏览器快捷键 Ctrl + F (Windows) 或 Cmd + F (Mac)，输入关键词（如 "Segmentation", "Transformer"）快速定位。
  • 本地端：使用文本编辑器打开 README.md 进行搜索。

2. 获取代码实现

大多数条目都附带了代码链接。

• 点击论文条目中的 [Code] 或类似徽章链接。
• 这将跳转到该论文的官方 GitHub 实现仓库。
• 进入对应子仓库后，请参照该子仓库的 README 进行具体的环境配置和运行（通常包含 pip install -r requirements.txt 等标准 Python 项目流程）。

3. 同步更新

由于论文列表会持续更新，建议定期拉取最新内容：

git pull origin main

4. 贡献与反馈

如果你发现遗漏的论文或代码链接失效：

• 在 GitHub 仓库页面点击 Issues 提交问题。
• 或者 Fork 仓库后提交 Pull Request 补充内容。