Learn how to use artificial intelligence to improve your photography. Discover how to use AI-powered apps from Adobe, Skylum, EyeQ, and Topaz Labs to enhance photos automatically.
Overview
Syllabus
Introduction
- Using artificial intelligence to edit photos
- What you should know before watching this course and exercise files
- Using the exercise files
- What is artificial intelligence?
- What is machine learning?
- An example of AI in action
- Should I be concerned about my privacy?
- Creating new files with the Enhance Details command
- Calculating the perfect exposure for a raw file
- Searching images with Adobe Sensei
- Removing objects with Content Aware Fill
- Merging panoramic images with Content Aware Fill
- Enhancing portraits with Face Aware Liquify
- Identifying the target with the Select Subject command
- Creating an accurate selection with the Object Selection command
- Making a selection based on depth or focus
- Accessing the Neural Filters in Photoshop
- Essential Neural Filters
- Replacing a sky in Photoshop
- Fixing perspective and crop with Composition AI
- Enhancing images with AI-based templates
- Fixing color and tone with Accent AI
- Achieving depth with Smart Contrast
- Improving skies with AI Sky Enhancer
- Creating new skies with AI Sky Replacement
- Adding details with AI Structure
- Adding mood with Atmosphere AI
- Enhancing skin with AI Skin Enhancer
- Perfecting portraits with Face AI and Body AI
- Perfecting faces with Portrait Enhancer
- Tone-mapping single images with the Quantum HDR Engine
- Complete dynamic range for brackets photos with the Quantum HDR Engine
- Achieving the perfect exposure with Perfectly Clear
- Fixing skin with Perfectly Clear
- Enhancing portraits with Perfectly Clear
- Applying digital makeup with Perfectly Clear
- Enlarging photos with Gigapixel AI
- Creating tack-sharp images with Sharpen AI
- Removing noise and recovering detail with Denoise AI
- Create new raw files with JPEG to RAW AI
- Adding color and detail with Adjust AI
- Create complex transparency with Mask AI
- Next steps
Taught by
Richard Harrington