AI Enhanced Photo Editing Workflow for Efficient Retouching

AI-Enhanced Photo Editing and Retouching Workflow

1. Initial Assessment and Planning

1.1 Define Project Scope

Identify the specific requirements of the photo editing project, including the desired outcomes and deliverables.

1.2 Select AI Tools

Choose appropriate AI-driven tools for the project. Examples include:

• Adobe Photoshop with Sensei: Leverage AI capabilities for automated enhancements.
• Skylum Luminar AI: Utilize AI for quick adjustments and creative enhancements.
• Remove.bg: Implement AI for background removal and subject isolation.

2. Image Preparation

2.1 Import Images

Load the images into the selected AI tools for editing.

2.2 Organize Assets

Label and categorize images for easy access and management during the editing process.

3. AI-Driven Editing Process

3.1 Automated Enhancements

Utilize AI algorithms to apply initial enhancements such as:

• Color correction
• Exposure adjustments
• Noise reduction

3.2 Advanced Retouching

Employ AI tools for more intricate retouching tasks, including:

• Face-Aware Liquify: Adjust facial features with precision using AI.
• PortraitPro: Enhance portraits through automated skin smoothing and blemish removal.

3.3 Creative Effects

Explore AI-driven creative effects such as:

• DeepArt: Transform images into artistic styles using neural networks.
• Prisma: Apply artistic filters that mimic famous art styles.

4. Review and Refinement

4.1 Quality Control

Conduct a thorough review of the edited images to ensure quality and adherence to project specifications.

4.2 Feedback Integration

Gather feedback from stakeholders and make necessary adjustments using AI tools for efficiency.

5. Finalization and Delivery

5.1 Export Images

Export the final images in the required formats, ensuring optimal resolution and quality.

5.2 Archive Project Files

Organize and archive all project files for future reference and potential re-edits.

5.3 Client Review

Present the final images to the client for approval and make any last-minute adjustments as necessary.

6. Post-Project Evaluation

6.1 Analyze Workflow Efficiency

Evaluate the effectiveness of the AI tools used and the overall workflow process for continuous improvement.

6.2 Document Lessons Learned

Record insights and experiences from the project to enhance future workflows.