---
title: "ECCV2022-Papers-with-Code-Demo"
type: "tool"
slug: "dwctod-eccv2022-papers-with-code-demo"
canonical_url: "https://www.graphcanon.com/tools/dwctod-eccv2022-papers-with-code-demo"
github_url: "https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo"
homepage_url: null
stars: 281
forks: 21
primary_language: null
license: null
archived: false
categories: ["computer-vision"]
tags: ["ai", "dataset", "diffusion", "image-segmentation", "cv", "eccv", "face-recognition", "computer-vision"]
updated_at: "2026-07-12T04:42:44.152826+00:00"
---
# ECCV2022-Papers-with-Code-Demo
> 收集 ECCV 最新的成果，包括论文、代码和demo视频等
ECCV2022-Papers-with-Code-Demo 是一个汇集了ECCV 2022会议相关论文、开源代码及Demo视频的资源库，旨在促进计算机视觉领域的研究成果共享。
## Facts
- Repository: https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo
- Stars: 281 · Forks: 21 · Open issues: 0 · Watchers: 6
- Last pushed: 2022-11-15T13:21:56+00:00
## Trust & health
_Signals computed from public GitHub metadata. Not a security guarantee._
- Maintenance: Dormant (computed 2026-07-11T12:31:39.260Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T12:31:40.797Z
- Full report: [trust report](/tools/dwctod-eccv2022-papers-with-code-demo/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/dwctod-eccv2022-papers-with-code-demo/trust)
## Categories
- [Computer Vision](/categories/computer-vision.md)
## Tags
ai, dataset, diffusion, image-segmentation, cv, eccv, face-recognition, computer-vision
## Category neighbours (exploratory)
_Same-category tools for discovery only - not curated alternatives. Cap shown at six._
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [pytorch](/tools/pytorch-pytorch.md) - Tensors and Dynamic neural networks in Python with strong GPU acceleration (★ 101,752) [Very active]
- [PaddleOCR](/tools/paddlepaddle-paddleocr.md) - A powerful, lightweight OCR toolkit to convert images and PDFs into structured data (★ 85,230) [Active]
- [stable-diffusion](/tools/compvis-stable-diffusion.md) - A latent text-to-image diffusion model (★ 73,179) [Dormant]
- [scikit-learn](/tools/scikit-learn-scikit-learn.md) - scikit-learn: machine learning in Python (★ 66,693) [Very active]
- [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) - 1 min voice data can also be used to train a good TTS model! (few shot voice cloning) (★ 59,643) [Very active]
_+ 2 more not listed._
## Adoption goal
ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision.
## README (excerpt)
_Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._
```text
# ECCV2022-Papers-with-Code-Demo
收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
欢迎关注公众号：AI算法与图像处理
:star_and_crescent:**福利 注册即可领取 200 块计算资源 : https://www.bkunyun.com/wap/console?source=aistudy**
[使用说明](https://mp.weixin.qq.com/s?__biz=MzU4NTY4Mzg1Mw==&mid=2247521550&idx=1&sn=db4c7f609bd61ae7734b9e012a763f98&chksm=fd8413eccaf39afa686f69f2df2463f4a6a8233ba3b3edf698513bbee556c9f6c21e835b8eb8&token=705359263&lang=zh_CN#rd)
:star2: [ECCV 2022](https://eccv2022.ecva.net/) 持续更新最新论文/paper和相应的开源代码/code！
:car: ECCV 2022 收录列表ID：https://ailb-web.ing.unimore.it/releases/eccv2022/accepted_papers.txt
:car: 官网链接：https://eccv2022.ecva.net
B站demo：https://space.bilibili.com/288489574
> :hand: 注：欢迎各位大佬提交issue，分享ECCV 2022论文/paper和开源项目！共同完善这个项目
>
> 往年顶会论文汇总：
> [CVPR2022](https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo)
>
> [CVPR2021](https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo/blob/main/CVPR2021.md)
>
> [ICCV2021](https://github.com/DWCTOD/ICCV2021-Papers-with-Code-Demo)
### **:fireworks: 欢迎进群** | Welcome
ECCV 2022 论文/paper交流群已成立！已经收录的同学，可以添加微信：**nvshenj125**，请备注：**ECCV+姓名+学校/公司名称**！一定要根据格式申请，可以拉你进群。
### :hammer: **目录 |Table of Contents（点击直接跳转）**
目录（右侧点击可折叠）
- [数据集/Dataset](#Dataset)
- [Image Classification](#ImageClassification)
- [GAN](#GAN)
- [NeRF](#NeRF)
- [Visual Transformer](#VisualTransformer)
- [多模态/Multimodal ](#Multimodal)
- [Vision-Language](#Vision-Language)
- [对比学习/Contrastive Learning](#ContrastiveLearning)
- [Domain Adaptation](#DomainAdaptation)
- [目标检测/Object Detection](#ObjectDetection)
- [目标跟踪/Object Tracking](#ObjectTracking)
- [语义分割/Segmentation](#Segmentation)
- [Video Segmentation](#VS)
- [医学图像分割/Medical Image Segmentation](#MIS)
- [Knowledge Distillation](#KnowledgeDistillation)
- [Action Detection](#ActionDetection)
- [Action Recognition](#ActionRecognition)
- [Anomaly Detection](#AnomalyDetection)
- [人脸识别/Face Recognition](#FaceRecognition)
- [人脸检测/Face Detection](#FaceDetection)
- [人脸活体检测/Face Anti-Spoofing](#FaceAnti-Spoofing)
- [人脸年龄估计/Age Estimation](#AgeEstimation)
- [人脸表情识别/Facial Expression Recognition](#FacialExpressionRecognition)
- [人脸属性识别/Facial Attribute Recognition](#FacialAttributeRecognition)
- [人脸编辑/Facial Editing](#FacialEditing)
- [人脸相关 / Face](#Face)
- [人体姿态估计/Human Pose Estimation](#HumanPoseEstimation)
- [3D reconstruction](#3DReconstruction)
- [Human Reconstruction](#HumanReconstruction)
- [Relighting](#Relighting)
- [DeepFake](#DeepFake)
- [OCR](#OCR)
- [Text Recognition](#TextRecognition)
- [点云/Point Cloud](#PointCloud)
- [光流估计/Flow Estimation](#FlowEstimation)
- [深度估计/Depth Estimation](#DepthEstimation)
- [车道线检测/Lane Detection](#LaneDetection)
- [轨迹预测/Trajectory Prediction](#TrajectoryPrediction)
- [超分/Super-Resolution](#Super-Resolution)
- [图像去噪/Image Denoising](#ImageDenoising)
- [图像去模糊/Image Deblurring](#ImageDeblurring)
- [图像复原/Image Restoration](#ImageRestoration)
- [图像增强/Image Enhancement](#ImageEnhancement)
- [图像修复/Image Inpainting](#ImageInpainting)
- [视频插帧/Video Interpolation](#VideoInterpolation)
- [Temporal Action Segmentation](#TemporalActionSegmentation)
- [检索/Image Retrieval](#ImageRetrieval)
- [Diffusion](#diffusion)
- [其他/Other](#Other)
## 数据集/Dataset
**COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts**
- 论文/Paper: http://arxiv.org/pdf/2207.04675
- 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia
**Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset**
- 论文/Paper: http://arxiv.org/pdf/2207.10664
- 代码/Code: https://github.com/visipedia/ssw60
**BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.10120
- 代码/Code: https://github.com/dmoltisanti/brace
**CelebV-HQ: A Large-Scale Video Facial Attributes Dataset**
- 论文/Paper: http://arxiv.org/pdf/2207.12393
- 代码/Code: https://github.com/CelebV-HQ/CelebV-HQ
**Ithaca365: Data
```
---
**Machine-readable endpoints**
- JSON: [`/api/graphcanon/tools/dwctod-eccv2022-papers-with-code-demo`](/api/graphcanon/tools/dwctod-eccv2022-papers-with-code-demo)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)
_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_