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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
ECCV 2026 论文和开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2026论文和开源项目
| Date | Stars |
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| 2026-07-24 | 2276 |
| 2026-07-25 | 2276 |
| 2026-07-28 | 2277 |
| 2026-07-30 | 2277 |
| 2026-08-06 | 2277 |
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# ECCV 2024 论文和开源项目合集(Papers with Code) ECCV 2024 decisions are now available! > 注1:欢迎各位大佬提交issue,分享ECCV 2024论文和开源项目! > > 注2:关于往年CV顶会论文以及其他优质CV论文和大盘点,详见: https://github.com/amusi/daily-paper-computer-vision > > - [CVPR 2024](https://github.com/amusi/CVPR2024-Papers-with-Code) > - [ECCV 2022](ECCV2022-Papers-with-Code.md) > - [ECCV 2020](ECCV2020-Papers-with-Code.md) 想看ECCV 2024和最新最全的顶会工作,欢迎扫码加入【CVer学术交流群】,这是最大的计算机视觉AI知识星球!每日更新,第一时间分享最新最前沿的计算机视觉、深度学习、自动驾驶、医疗影像和AIGC等方向的学习资料,学起来!  # 【ECCV 2024 论文开源目录】 - [3DGS(Gaussian Splatting)](#3DGS) - [Mamba / SSM)](#Mamba) - [Avatars](#Avatars) - [Backbone](#Backbone) - [CLIP](#CLIP) - [MAE](#MAE) - [Embodied AI](#Embodied-AI) - [GAN](#GAN) - [GNN](#GNN) - [多模态大语言模型(MLLM)](#MLLM) - [大语言模型(LLM)](#LLM) - [NAS](#NAS) - [OCR](#OCR) - [NeRF](#NeRF) - [DETR](#DETR) - [Prompt](#Prompt) - [扩散模型(Diffusion Models)](#Diffusion) - [ReID(重识别)](#ReID) - [长尾分布(Long-Tail)](#Long-Tail) - [Vision Transformer](#Vision-Transformer) - [视觉和语言(Vision-Language)](#VL) - [自监督学习(Self-supervised Learning)](#SSL) - [数据增强(Data Augmentation)](#DA) - [目标检测(Object Detection)](#Object-Detection) - [异常检测(Anomaly Detection)](#Anomaly-Detection) - [目标跟踪(Visual Tracking)](#VT) - [语义分割(Semantic Segmentation)](#Semantic-Segmentation) - [实例分割(Instance Segmentation)](#Instance-Segmentation) - [全景分割(Panoptic Segmentation)](#Panoptic-Segmentation) - [医学图像(Medical Image)](#MI) - [医学图像分割(Medical Image Segmentation)](#MIS) - [视频目标分割(Video Object Segmentation)](#VOS) - [视频实例分割(Video Instance Segmentation)](#VIS) - [参考图像分割(Referring Image Segmentation)](#RIS) - [图像抠图(Image Matting)](#Matting) - [图像编辑(Image Editing)](#Image-Editing) - [Low-level Vision](#LLV) - [超分辨率(Super-Resolution)](#SR) - [去噪(Denoising)](#Denoising) - [去模糊(Deblur)](#Deblur) - [自动驾驶(Autonomous Driving)](#Autonomous-Driving) - [3D点云(3D Point Cloud)](#3D-Point-Cloud) - [3D目标检测(3D Object Detection)](#3DOD) - [3D语义分割(3D Semantic Segmentation)](#3DSS) - [3D目标跟踪(3D Object Tracking)](#3D-Object-Tracking) - [3D语义场景补全(3D Semantic Scene Completion)](#3DSSC) - [3D配准(3D Registration)](#3D-Registration) - [3D人体姿态估计(3D Human Pose Estimation)](#3D-Human-Pose-Estimation) - [3D人体Mesh估计(3D Human Mesh Estimation)](#3D-Human-Pose-Estimation) - [医学图像(Medical Image)](#Medical-Image) - [图像生成(Image Generation)](#Image-Generation) - [视频生成(Video Generation)](#Video-Generation) - [3D生成(3D Generation)](#3D-Generation) - [视频理解(Video Understanding)](#Video-Understanding) - [行为识别(Action Recognition)](#Action-Recognition) - [行为检测(Action Detection)](#Action-Detection) - [文本检测(Text Detection)](#Text-Detection) - [知识蒸馏(Knowledge Distillation)](#KD) - [模型剪枝(Model Pruning)](#Pruning) - [图像压缩(Image Compression)](#IC) - [三维重建(3D Reconstruction)](#3D-Reconstruction) - [深度估计(Depth Estimation)](#Depth-Estimation) - [轨迹预测(Trajectory Prediction)](#TP) - [车道线检测(Lane Detection)](#Lane-Detection) - [图像描述(Image Captioning)](#Image-Captioning) - [视觉问答(Visual Question Answering)](#VQA) - [手语识别(Sign Language Recognition)](#SLR) - [视频预测(Video Prediction)](#Video-Prediction) - [新视点合成(Novel View Synthesis)](#NVS) - [Zero-Shot Learning(零样本学习)](#ZSL) - [立体匹配(Stereo Matching)](#Stereo-Matching) - [特征匹配(Feature Matching)](#Feature-Matching) - [场景图生成(Scene Graph Generation)](#SGG) - [计数(Counting)](#Counting) - [隐式神经表示(Implicit Neural Representations)](#INR) - [图像质量评价(Image Quality Assessment)](#IQA) - [视频质量评价(Video Quality Assessment)](#Video-Quality-Assessment) - [数据集(Datasets)](#Datasets) - [新任务(New Tasks)](#New-Tasks) - [其他(Others)](#Others) <a name="3DGS"></a> # 3DGS(Gaussian Splatting) **MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images** - Project: https://donydchen.github.io/mvsplat - Paper: https://arxiv.org/abs/2403.14627 - Code:https://github.com/donydchen/mvsplat **CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians** - Paper: https://arxiv.org/abs/2404.01133 - Code: https://github.com/DekuLiuTesla/CityGaussian **FSGS: Real-Time Few-shot
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a94651a7959ec7ab, topic:computer-vision, topic:object-detection, topic:image-segmentation
matched fp:a94651a7959ec7ab, topic:deep-learning, topic:neural-network