Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained
Explore cutting-edge 3D generative models with a deep dive into efficient geometry-aware GANs, NeRF technology, and novel scene representation techniques for advanced computer vision applications.
Stable Diffusion DreamBooth Tutorial Using Automatic1111 Web UI - Ultra Detailed
Comprehensive guide to Stable Diffusion DreamBooth: installation, training, fine-tuning, and advanced techniques for creating high-quality AI-generated images with custom subjects and styles.
Body Segmentation with Python and Tensorflow BodyPix - AI Background Removal
Learn to create AI-powered virtual backgrounds using Python, OpenCV, and BodyPix. Segment your body in real-time, remove backgrounds, and apply custom virtual backgrounds without a green screen.
Python ANPR with OpenCV and EasyOCR - Automatic Number Plate Recognition Tutorial
Learn to build an Automatic Number Plate Recognition system using Python, OpenCV, and EasyOCR. Master image processing, contour detection, and optical character recognition for practical computer vision applications.
An Image is Worth 16x16 Words - Transformers for Image Recognition at Scale
Explore how Transformers outperform CNNs in image recognition, delving into Vision Transformer architecture, experimental results, and implications for AI research.
Axial-DeepLab - Stand-Alone Axial-Attention for Panoptic Segmentation
Explore a novel approach to image processing using axial-attention, combining positional embeddings and factorized self-attention to achieve state-of-the-art results in image segmentation tasks.
XCiT- Cross-Covariance Image Transformers - Facebook AI Machine Learning Research Paper Explained
Explore XCiT, a novel Transformer architecture for computer vision using cross-covariance attention. Learn about its linear complexity, scalability, and performance across various vision tasks.
OpenCV Python Tutorial for Beginners - Image Processing for Computer Vision & Deep Learning
Comprehensive guide to image processing with OpenCV in Python, covering essential techniques from basic operations to advanced manipulations for computer vision applications.
Build a Deep Iris Detection Model Using Python and Tensorflow - Keypoint Detection
Develop an iris tracking model using keypoint detection with TensorFlow and Python. Learn data preparation, model creation, training, and real-time detection for advanced computer vision applications.
Deep Fake Images and Video with SimSwap
Learn to apply face swapping technology using SimSwap model. Gain understanding of the GAN, apply it to images and videos, and explore various use cases. Includes step-by-step tutorial and final results demonstration.
Bringing Old Images Back to Life with DeOldify AI and Python
Learn to recolor black and white images using DeOldify AI and Python in this beginner-friendly tutorial. Covers setup, implementation, and showcases impressive results.
Detect Edges with OpenCV and Python - Computer Vision Tutorial
Learn to apply Canny Edge Detection using OpenCV and Python, including parameter tuning, noise reduction, and result exporting in this comprehensive computer vision tutorial.
Accessing USB Devices and Webcams with OpenCV and Python
Learn to access webcams and USB devices using OpenCV and Python, including capturing photos and creating real-time video feeds. Practical tutorial with code examples and step-by-step guidance.
Build a Deep Facial Recognition App - Collecting Data - Deep Learning Project Tutorial
Learn to build a deep facial recognition app by collecting and processing data, using OpenCV for webcam access, and preparing images for model training.
Extract Drug Labels Using Deep Learning with PaddleOCR and Python
Learn to extract prescription medication labels using PaddleOCR and Python. Gain hands-on experience in optical character recognition, from installation to visualization, with potential applications in accessibility.
Understanding Convolution Kernels for CNNs - Computer Vision Basics - What Are Convolutions?
Explore convolutional kernels in CNNs, from basic concepts to practical applications in PyTorch. Learn visualization techniques and understand their impact on computer vision tasks.
3D Photo Inpainting Python Tutorial - Turn Any Picture Into 3D Photo with Machine Learning
Learn to create stunning 3D photos from regular images using machine learning and Python. Explore the process of 3D photo inpainting, from setup to final results, in this hands-on tutorial.
Enhance Low Light Images Using Keras, Python and Weights & Biases
Learn to enhance low-light images using Zero-DCE, an unsupervised technique implemented with Python, Keras, and Weights & Biases. Explore model training, experiment tracking, and result visualization in this hands-on tutorial.
Convolutional Neural Nets Explained and Implemented in Python - PyTorch
Comprehensive guide to Convolutional Neural Networks: theory, implementation, and practical applications using Python and PyTorch for computer vision tasks like image classification.
How to Use Color Histograms for Image Retrieval
Learn to use color histograms for image retrieval, including building histograms, using OpenCV, and implementing retrieval techniques. Explore pros, cons, and practical applications of this content-based approach.
Beyond Text - Giving Stable Diffusion New Abilities
Explore advanced Stable Diffusion techniques like face variation and super resolution with Lambda Labs' Justin Pinkey in this technical deep dive on expanding AI image generation capabilities.