Today, AI video generation tools are widely used for creating animations, avatars, and videos from text, as well as social media, marketing, and training videos.
Despite the positive traits of AI-generated videos, users have pinpointed the problem of these videos having an ‘overly smooth’, unrealistic appearance. Faces may appear blurred, skin may be overly smoothed, and details are missing.
Understanding why this occurs helps every user achieve better results, smooth performance, and select the correct AI tool for their needs.
What Heavy Filters Mean in AI Video Tools
AI tools use filters to smooth and soften video details. Show users may have very similar appearances, lighting, and colors. Fine details like lips, skin pores, wrinkles, and hair strands are blurred or eliminated. Most of these tools apply filters to every video, and you cannot alter or remove them, leading to ‘heavily filtered’ videos.
The overall use of smooth filters is not designed to simply improve the beauty of the video. Most of the time, the alteration is completed for technical reasons.
AI Video Generation Is Not Perfect Yet
AI does not truly see or understand videos as humans do. It predicts how each frame should look based on data and patterns. During this process, small errors often appear. These errors may include strange facial movements, uneven lighting, or distorted shapes.
Heavy filters help hide these issues. Smoothing effects cover rough textures. Soft focus hides unnatural edges. Blurring reduces visual noise. Without filters, these flaws would be much easier to notice and would make the video look broken or low quality.
Faces Are Very Hard for AI to Create
None of the various AI technologies sees or interprets videos as humans do. It predicts what a video frame should look like by checking the data and spotting what patterns exist. During this process, there are bound to be loose errors.
These errors are telling in the form of odd smiling, strange movements, or even sudden changes in the lighting.
To cover the above-mentioned clues, heavy filters, soft focus, and blurring are used. These flaws would be very easy to spot without said tools, and the video would seem glitchy or low quality.
Heavy Filters Improve Video Speed & Performance
Small details are of great importance. This is particularly true for human faces. A small delay in eye movement or an odd smile can ruin a video and feel very unnatural.
AI is especially bad at accurately portraying the same human face consistently across video frames, and this is why many AI- generated human faces look artificial. It is a trade-off between realism and visual consistency.
Consistent Style Is Easier to Control
People upload many images and videos. Some are of high quality and good lighting, while others are of poor quality and bad lighting. This creates a challenge for AI tools.
Heavy filters help standardize the output and make videos look the same regardless of the input quality. This is good for user satisfaction and branding. Consistency is important in brand recognition.
Filters Help Reduce Legal and Ethical Risks
Inaccurately designed AI programs are a danger to society. Realistic face generation is a serious problem. Using a fake AI-generated face to create a cover for a deep fake video to impersonate someone or spread misinformation is a real problem.
Due to the use of heavy filters, AI companies intentionally make their videos less realistic. Using filters to look for AI-generated content and prevent all real human footage from being mixed in.
Lighting and Color Errors Are Easier to Hide
Lighting is always a tricky proposition for AI. AI-generated videos often get highlights and shadows wrong, and sudden changes in light can break immersion.
On the other hand, strong filters can greatly aid videos with a more controlled visual environment. Harsher shadows and more pronounced highlights are hidden, and the overall effect is a more soothing video, even at the expense of a little realism.
Many Users Prefer “Clean” Looking Videos
Some videos don’t need to be ultra-realistic, and a more cosmetically attractive video is often preferable. Social media users often prefer heavily filtered videos to the soft skin, and gentle lighting, that is favored.
Content creators, influencers, and marketers are the primary users of AI video tools. These are the people for whom a visually appealing result is all that matters, and with strong filters, a clean and appealing look can be produced in a very short period of time.
The Future: Better AI or More Filters?
The rapid advancements in AI video technologies are encouraging. New models that require little smoothing are better at maintaining consistency, and some tools allow users to choose how much they want to filter the video, giving users the option of a polished video or one that is more realistic.
It is safe to say we are still a few years away from the technology that will allow for the rapid and consistent production of videos that are realistic and unfiltered. Until that time, we are required to make do with the technology as it stands, and strong filters will continue to be a requirement.
Benefits vs. Drawbacks of Heavy Filters in AI Video Tools
In order to enhance the final product, AI video tools utilize heavy filters to mask issues from the video production process. While heavy filters solve some issues, they also create some boundaries that the user must understand to see if the video tools will meet their requirements.
Disguise the fact that some AI videos have been poorly constructed, such as video crawling, lighting inconsistencies, and frame-by-frame flickering. To improve the appeal and stability of the video. Additionally, heavy filters enhance the focus of AI videos, which helps AI avatars and other video features.
The filters also speed up video creation, as they remove some of the details, which decreases the computing needed to create the video. Filters also help reduce the videos misuse, as they make the video clearly an AI creation, which helps to mitigate the legal issues.
Heavy filters cause the videos to lose realism. Many details get lost in heavy filters, such as natural lighting or expressions. With heavy filters, control over the creativity of the video is limited. Users who wish to have cinematic or natural heavy filters are often dissatisfied, as the settings cannot be adjusted.
Final Thoughts
There are good reasons many AI video tools use strong filters. They mask issues in the video generation process, improve facial stability, increase speed and reduce costs, and minimize legal issues. They also support a consistent style and a better-looking video.
Strong filters can reduce realism but also make AI video tools usable and dependable for the average user. In the future, tech will likely improve, and AI videos will have realistic filters. For now, it is important to consider the limitations filters create and the expectations they set.