liyuechen1999's Stars
Stability-AI/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
andreas128/RePaint
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
lyc0929/OOTDiffusion-train
levihsu/OOTDiffusion
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
yuweihao/MambaOut
MambaOut: Do We Really Need Mamba for Vision?
xhanxu/Mamba3D
[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
VitjanZ/3DSR
Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
WongKinYiu/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
nickyisadog/latent-diffusion-inpainting
tryonlabs/tryondiffusion
TryOnDiffusion: A Tale of Two UNets Implementation
nomewang/M3DM
52CV/CVPR-2023-Papers
lvxiaoming2019/GC10-DET-Metallic-Surface-Defect-Datasets
This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" The images of 10 common Metallic Surface defects were collected, and their pixel level ground-truth were labeled.
meituan/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
ultralytics/ultralytics
Ultralytics YOLO11 🚀
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
AlibabaResearch/efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
Adamdad/ConsistentTeacher
[CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
developer0hye/SKNet-PyTorch
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
z1069614715/objectdetection_script
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
Charmve/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。