BigTeacher-777/Awesome-Monocular-3D-Detection
quality grade F, 34 out of 100Awesome Monocular 3D detection
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
Awesome Monocular 3D detection
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
KeyForge3D is an app that turns a photo of a key into a 3D-printable STL file. Ideal for locksmiths and hobbyists, it analyzes the key's bitting pattern using image processing and generates an accurate 3D model for quick replication.
A 3D virtual head control system for VTuber in Unity with smooth motion and robust facial expressions
PLPR utilizes YOLOv5 and custom models for high-accuracy Persian license plate recognition, featuring real-time processing and an intuitive interface in an open-source framework.
Implicit Geometric Regularization for Learning Shapes
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
HomeGenie: The Programmable Intelligence with 100% Local Agentic AI.
Python bindings for the Point Cloud Library (PCL)
List of DL topics and resources essential for cracking interviews
a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)
2020-2021年计算机视觉综述论文分方向整理
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Implementing Vi(sion)T(transformer)
The official implementation of paper "ColorFlow: Retrieval-Augmented Image Sequence Colorization". ColorFlow:基于检索增强的图像序列上色
Instant-angelo: Build high-fidelity Digital Twin within 20 Minutes!
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
CVPR 2022 papers with code (论文及代码)
Convert from Basel Face Model (BFM) to the FLAME head model
License Plate Detection using YOLOv8
Python Examples for Remote Sensing
[ICCV21] Self-Calibrating Neural Radiance Fields
24,524 repositories in the index in total.