Using AI video enhancement in professional workflows gets more and more spotlight. As every emerging technology isn’t limitless in its capacity, the same goes with AI upscalers. Use our do’s and don’ts guide to ensure productivity and prevent common pitfalls such as copyright and ethical issues when using AI upscalers.
DO #1: Understand your project before applying AI video enhancers
AI upscalers are evolving rapidly, but not every video requires the same level of treatment. Success starts with understanding your project's unique needs. Just as in traditional post-production, professionals must determine whether the content requires resolution upscaling, color correction, or noise reduction. Choose specialized filters as Deep Clean Ultra only if they are tailored to the task (e.g., when working on older or degraded footage). It’s important to note that even the best AI tools cannot perform miracles on heavily distorted media. Set achievable goals to align results with the project's requirements.
DO #2: Work with high-quality videos
Due to the close ties to its training models, AI upscalers use deep learning algorithms to predict and generate new pixels based on the content surrounding the original ones. Using high-resolution files ensures the enhancement algorithms can perform at their best. Avoid highly compressed formats, as compression artifacts hinder the effectiveness of AI video enhancers. Conduct test runs to evaluate how much enhancement is needed. Video professionals who embrace AI technology know that careful preparation and planning set them apart from those seeking quick fixes.
DO #3: Stay updated with the latest features
AI upscalers improve continuously as new models and features are released. Staying updated allows you to leverage these advancements, resulting in better performance, faster processing, and improved functionalities. Try to stay ahead of the learning curve by testing new versions, or invest time in tutorials or webinars to get the most from your tools.
DO #4: Be mindful of copyright and ethical issues
Relying on AI to add details can blur the line between restoration and alteration. This raises questions about the authenticity of the enhanced footage, and concerns about copyright claims where industry acclaimed AI upscalers like TensorPix is resolute about. AI enhanced videos shouldn’t mislead viewers or distort the facts from the original footage. This is especially true when restoring historical footage, where you should indicate enhancements clearly to maintain authenticity
DON’T #1: Avoid overdoing your footage
Overdoing enhancements can result in unnatural, unattractive visuals. For example, excessive noise reduction can create a plastic or artificial look. Use only the necessary adjustments and follow tutorials to achieve optimal results.
DON’T #2: Be afraid of fine-tuning
Even with advanced AI video enhancers, manual adjustments remain crucial. Post-enhancement tweaks, such as color grading or frame-by-frame consistency checks, can significantly impact the final result. Embrace fine-tuning to ensure every frame aligns with the intended vision.
DON’T #3: Ignore the human value
Use AI upscalers to amplify creativity. In commercial projects, involve clients in the enhancement process to align with their vision. The better you understand how AI video enhancement works, the sooner your productivity blossoms and gets more time to bring your creativity to the new levels.
DON’T #4: Deflect from common reasoning
Some processes still have to be done in a traditional way. With ongoing advancements in AI and machine learning we can expect more sophisticated algorithms that will further improve the quality of upscaled or restored videos, reduce rendering times, and provide scalability. Smart usage defines the difference between amateur output and professional excellence.
