Stable Diffusion
Explore latent diffusion models for AI image generation, including unconditional generation and super-resolution techniques.
Introduction to Convolutional Neural Networks - Part I - Lecture 8
Introduction to convolutional neural networks, covering architecture, applications in computer vision and natural language processing, with examples like AlexNet and super-resolution techniques.
New AI Features in Adobe Camera RAW 17.0
Explore new AI features in Adobe Camera RAW 17.0: Adaptive Presets, Generative Expand, and non-destructive enhancements for improved image editing.
Cutting Edge Deep Learning for Coders
Explore advanced deep learning techniques including object detection, NLP, neural translation, GANs, and image enhancement. Gain practical skills for cutting-edge AI applications.
Single Image Super Resolution Using SRGAN
Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.
Enhancing Old Videos to Full HD Using AI Tools - Video Restoration Tutorial
Discover how to transform old, low-quality videos into full HD using AI-powered video enhancement tools, Python libraries, and GPU processing for superior resolution and clarity.
Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar
Explore model-based deep learning for imaging and communications, merging parametric models with optimization tools for efficient, interpretable networks applicable to various real-world problems.
Deep Internal Learning - Deep Learning with Zero Examples
Explore deep learning without external data, focusing on internal learning for tasks like super-resolution and image segmentation. Discover innovative approaches and their applications in various domains.
Image Enlargement - Professional Upsampling Techniques in Photoshop
Learn professional techniques for enlarging images in Photoshop, including AI-enabled filters, upsampling enhancement, and artifact removal. Master the art of transforming low-resolution images into high-quality, enlarged versions.
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.
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.
Machine Learning for Fluid Dynamics - Patterns
Explore machine learning applications in fluid dynamics, focusing on pattern extraction and coherent structure identification in high-dimensional systems.
Unsupervised Learning - Autoencoding the Targets
Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.
Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA
Explore model-based deep learning for super-resolution microscopy, merging parametric models with optimization tools to create efficient, interpretable networks from limited training data.
Deep Learning and Shape Modelling for Medical Image Reconstruction, Segmentation and Analysis
Explores deep learning techniques for MR image processing, incorporating anatomical shape information as prior knowledge to enhance reconstruction, super-resolution, and segmentation in medical imaging applications.
Embedded Deep Learning Super Resolution on GStreamer Using ONNX Inference Runtime
Explore embedded deep learning super-resolution techniques using ONNX Inference Runtime and GStreamer, covering problem-solving, implementation, and performance analysis.
Super Powering Technical Artists Using Deep Learning
Explore generative models in game development, focusing on style transfer, neural doodling, and image translation. Learn how deep learning enhances technical artistry and animation in Unity.
Super Resolution with CoreML
Explore image super resolution using CoreML and Swift. Learn implementation, model training, and comparisons with conventional methods. Discover recent advancements in iOS machine learning.
New Approaches to Image and Video Reconstruction Using Deep Learning
Explore cutting-edge deep learning techniques for image and video enhancement, including colorization and resolution improvement, using efficient PyTorch-based tools trainable on a single GPU.
Sketching Semidefinite Programs for Super-Resolution Problems
Explore super-resolution problems, focusing on measure recovery from Fourier coefficients. Learn about sketching approaches to reduce semidefinite program size and algorithmic developments for integral bounds.