
Learn to restore and colorize old photos using AI techniques like Stable Diffusion and ControlNet. This tutorial covers photo preparation, AI settings, refinement, and final adjustments for impressive results.

Explore LIMoE, a multimodal AI architecture processing images and text with sparse experts. Learn its internals, training, contrastive learning, behavior, and performance.

Learn to create professional white backgrounds in Photoshop using advanced techniques like Select and Mask, Light Wraps, and Dodge and Burn for enhanced portraits and product images.

Master pixel-perfect cutouts using Photoshop's Select and Mask Workspace. Learn tools and techniques for precise background removal and image refinement.

Learn precise hair selection techniques in Photoshop using Color Range. Master background removal, mask refinement, edge fringe elimination, and clean compositing for professional-looking results.

Discover a powerful Photoshop tool for effortlessly removing backgrounds, even with complex edges like hair. Learn non-destructive techniques for precise image editing.

Master light manipulation in Photoshop using Gradient Maps. Learn to control brightness levels, remove hotspots, adjust harshness, and add dramatic effects for enhanced depth and dimension in your images.

Learn to create dynamic perspective motion effects in Photoshop using path blur, color grading, and lighting techniques. Master advanced features to add realistic movement and drama to your images.

Learn to enhance image mood using Photoshop techniques like selective blur, lighting effects, color grading, and textures. Master dramatic lighting and make subjects stand out in just 20 minutes.

Explore voice command software for Photoshop and other applications, enabling hands-free control for tasks like skin softening and background removal.

Efficient background replacement in Photoshop using blend modes, without complex selections. Learn techniques for extracting subjects, matching lighting, and creative color grading.

Comprehensive tutorial on ControlNet 1.1 for Stable Diffusion, covering installation, usage, input creation with PoseMyArt, and new features. Ideal for AI art enthusiasts looking to enhance their image generation skills.

Comprehensive guide to generating studio-quality AI photos using Kohya LoRA Stable Diffusion training, covering installation, parameter settings, dataset preparation, and advanced techniques for optimal results.

Comprehensive guide on ControlNET 1.1, covering installation, new models, OpenPose features, and Tile-Resampling for enhanced image quality and detail in AI-generated visuals.

Explore model-based deep learning for super-resolution microscopy, merging parametric models with optimization tools to create efficient, interpretable networks from limited training data.

Efficient algorithms for non-local filtering in microscopy, focusing on fast implementations of Non-Local Means Denoising and feature detection in biological images for improved image processing 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.

Explore image restoration using deep learning, focusing on dehazing techniques. Learn about neural networks, dynamic units, and advanced methods for enhancing hazy images.

Learn to build a Flask web app that serves a deep learning model for skin cancer detection, covering file uploads, predictions, and UI design with Bootstrap.

Learn how Condé Nast evolved Spire, their user segmentation service, from notebooks to Docker images on Databricks clusters. Explore the streamlined deployment workflow, challenges faced, and solutions implemented.

Explore brain-inspired AI advancements, focusing on object recognition, contextual reasoning, and model performance. Gain insights into cutting-edge computational approaches and their applications.