AI Frame Interpolation Can Convert Videos to 60fps

AI Frame Interpolation Can Convert Videos to 60fps

AI Interpolation is a unique and powerful method to upscale frames in any video without worrying about image ghosting, stutter, and distortion. Many tools and platforms use this technology as it is proven to be much more reliable than the conventional methods. Thanks to artificial intelligence, these tools easily analyze the background, foreground, and other elements in the video to naturally upscale it without any visible artefacts at all. Now that people go after quality in every content they consume, such tools can vastly benefit in interpolating frames without having to struggle for hours.

AI Interpolation VS Conventional Frame Interpolation

How Does AI Interpolation Work?

AI Interpolation uses machine learning models and precisely understands the video's motion to add pixels accordingly. With the help of AI, these models can smartly distinguish between background and foreground elements which helps in a logical reconstruction of the video. A realistic reconstruction of the video is achieved by giving the tool up to ten neighboring frames immediately surrounding the Interpolated frame instead of just two. Using these images, it can predict what the missing elements look like and fill it in when it becomes visible. This process helps to tackle many problems like image ghosting, distortion, and stutter.

What is Frame Averaging?

Frame Averaging is the most basic Interpolation method and works by overlaying two neighbouring frames on top of each other. This technique may be easy to implement but not worth it to use on every footage. If a video has either too much or too less motion, the results will look unnatural. Slightly blurry Interpolated frames are formed when frame averaging is used on videos without much motion. On the other hand, videos with more motion will suffer from ghost frames, artefacts, and blurriness. This conventional method is perhaps not the most useful when your target is to create smooth footage.

What is Motion Estimation?

Motion Estimation is a sophisticated frame Interpolation method that works by breaking up the frame into a collection of blocks and estimating their movement between frames. This algorithm generally uses dynamically sized blocks that change depending on the difference between two frames, rather than smaller and fewer blocks. Using fewer blocks might speed up the process but can distort detailed movements. A velocity vector is calculated for each block after dividing a frame. The velocity represents the movement of a block between two frames and thus, the frames in between can be constructed by distorting the image, so the cells move to their next location.

Is AI Interpolation better than Conventional Frame Interpolation?

AI Interpolation is better than conventional methods like frame averaging and motion estimation. You must put in very little effort in AI Interpolation and at the same time, you can get the best results using this technique. Frame averaging is also a simple overlaying method, but it cannot produce good results, especially in videos with no motion or too much motion. Motion estimation is a sophisticated method, but it does produce decent results. However, it requires a lot of human effort, and it still lags when it comes to dealing with complex movements in a video. Therefore, AI Interpolation is the best possible way to smartly enhance your videos.

Top 4 AI Interpolation Tools for 60 FPS Videos

1. Myungsub CAIN

CAIN (Channel Attention for frame INterpolation) is a novel framework for video interpolation that synthesizes high-quality images without explicit estimation of motion. It incorporates channel attention with PixelShuffle to effectively generalize to unseen motions. Most existing methods use bidirectional optical flow or its variants for motion estimation, but CAIN uses a deep neural network architecture for accurate video frame interpolation. It performs video frame interpolation using spatially adaptive convolution filters whose weights are predicted by a convolutional neural network (CNN). The conventional video frame interpolation techniques demand a precise optical flow estimation and require additional model complexity resulting in a high computational cost. CAIN, however, uses an effective deep neural network which is end-to-end trainable and free from a motion estimation network component. Thus, it requires less computational cost and performs even better.

Myungsub CAIN

Pros:
● Dedicated and detailed tool to interpolate real-time footage
● Requires less computational cost and human effort
● Highly effective interpolation using end-to-end trainable deep neural network
Cons:
● A complex framework for normal users
● More like an algorithm and framework than a tool

2. Flowframes

FlowFrames is a powerful tool for Windows that uses advanced AI frameworks to interpolate videos. It preserves the necessary details like audio components and subtitles in the footage without compromising on quality and increases the frame rate in the most natural looking way possible. The tool is focused on RIFE AI but also supports DAIN and FLAVR. It supports video formats like MP4, GIF, WEBM, MKV, MOV, BIK, etc, and can also take image sequences as PNG, JPEG, and more. The common advanced video codecs such as H265/HEVC, VP9, AV1 are available for export as these are highly used formats for uploading content on social media. For 2D animation, it has a Built-in Frame De-Duplication and speed compensation feature which works flawlessly.

Flowframes

There is a patreon exclusive version of FlowFrames which includes a few more features with speed improvements.

Pros:
● Includes components to interpolate both 2D animations and real-time footage
● Supports maximum video formats and advanced codecs
● Preserves important detail like audio and subtitles

Cons:
● Requires patreon exclusive version for more features

3. AnimeInterp

AnimeInterp is a dedicated tool to create and enhance animated content. It was built to tackle the problems faced in interpolating cartoons like the lines and smooth colours of the characters and environment and exaggerated expressions with non-linear and large movements. AnimeInterp works on two dedicated modules to tackle these problems. First, segment-guided matching that uses global matching among color pieces to tackle the problem of lack of textures and analyzing smooth colours. Second, recurrent flow refinement that resolves the problem of non-linear and extremely large motion by recurrent predictions using a transformer type architecture. This approach outperforms the existing Interpolation methods for animations and makes the work much easier while preserving or even upscaling the quality of your projects.

AnimeInterp

Pros:
● Dedicated to creating and enhance animations
● Segment-guided matching to tackle lack of textures
● Recurrent flow refinement for non-linear and extremely large motions

Cons:
● A project under development and subject to change
● Quite complicated for a normal individual

4. SVP Team

SmoothVideoProject (SVP) is a frame interpolation software that can upscale any video up to 60 FPS and even higher. It uses frame interpolation technique as seen in high-end TVs which increases the frame rate by generating intermediate frames between the existing ones to produce a very smooth and clear motion. What's even better is that you don't have to play videos in this app separately, you can enjoy watching in your favourite video player and let SVP perform in real-time in the background. With this revolutionary application, you can convert animations, photo sequences, and video footage to 60/120/144+ FPS without any visible artefacts or distortions. It also supports GPU acceleration with NVIDIA optical flow support and runs in most video players including VLC. HDR, VR, and BD3D is also supported in some players which makes it feel like a complete bundle for quality streaming.

SVP

Pros:
● Increase frame rate to 60/120/144+ FPS
● No visible artefacts and distortions
● Supports maximum video players along with HDR, VR, and BD3D

Cons:
● Requires few additional downloads as extensions

AI Interpolation Examples

Gaming

The power of AI Interpolation is most felt while associating it with games because we are constantly focused on it, and we control most of the movement. Everyone desires to play their favourite games on a high-end PC which delivers smooth gameplay. But it's only possible when you get a good frame rate out of it. AI has the power to upscale the frame rate without requiring a high-performance computer. It can work quite well in a mid-range PC and enhance your overall gaming experience by ten times. You can check out a side-by-side comparison of a few fragments from the game Akira by clicking on this link.

Animation

If you ever watch an animation at 60 FPS or more, then you'll never want to go back to the conventional 24 FPS. Animations in 60FPS look a lot more natural and aesthetic. The smooth motion makes much more sense as it makes a lot of difference for the viewer. Most animations have non-linear motion which is quite difficult to interpolate. But now, since there are a few tools which work exceptionally well for such videos, watching cartoons will become a completely different experience in no time. You won't be able to unsee the differences in motion after going through the link below which contains a side-by-side comparison of a few animations in different frame rates.

Old films

Reviving old films and broadcasting them on several OTT platforms has become a trend. This was possible through many AI based tools including AI Interpolation. With the help of these tools, old films and documentaries are being colorized and upscaled in 60 FPS. Consumers find it hard to believe as the films seem like they were shot yesterday. Netflix is one of the first platforms to adopt this technology and use old footage to create documentaries like World War 2 (In Colour). The link below contains footage from 21 old films from 1895 to 1902 which were colorized and upscaled in 60 fps.

Conclusion

AI Interpolation is one of the most advanced tools for upscaling and enhancing videos and animations. It will completely dominate the video editing and enhancing world in no time as it is seamless and requires very little human effort. With its help, low quality content will eventually vanish from the internet and a high standard of video quality will be maintained forever regardless of the camera gear used to cover it. It seems too good to be true, but it is the future and the present. However, several advancements in this technology and its availability can result in the loss of employment on a large scale. Also read: Top 10 AI Translation Tools Review

FAQs

1. What is 60 fps?

A 60Hz screen can refresh its image 60 times per second, therefore, its refresh rate becomes 60 frames per second. Similarly, a video with a higher refresh rate would require a screen with a higher frequency to enjoy watching it in its true sense. A higher FPS results in better quality and smooth flow of the video.

2. How to get 60 fps videos?

You can shoot a 60 FPS video with a smartphone camera as most of them have this feature. Otherwise, you can take any video of your choice and convert it into 60 FPS using any of the AI Interpolation tools mentioned above. Other methods like motion estimation can also increase the frame rate of your footage.

3. What is frame interpolation?

Frame Interpolation is a form of video processing in which Intermediate frames are generated between existing frames to make the flow more fluid and to avoid display motion blur, distortion, and fake slow motion effects. It helps to increase the frame rate and overall quality of any video or animation to make it appear even better than original.

4. Is 60 fps better than 24 fps?

60 FPS is used to capture quick movements and to create a smooth slow-motion footage. 24 FPS is the standard speed for cinematic viewing worldwide. However, it’s always better to shoot at higher frame rates like 60 FPS as it can easily capture all kinds of motion and the footage can be processed in 24 FPS later, as per your needs.

About Rose Salia

Rose Salia is a senior tech writer with years of experience. Rose has a great passion for all things new and interesting in AI and tech industry. That's exactly why she can bring you different stories in AI, covering latest AI apps, amazing deepfake tools, and revolutionary deep learning and GPT-3. When she's not working on writing, in her spare time, Rose also enjoys cooking (Italian Pasta), walking her dog (Charlie, a fluffy golden retriever), playing video games (Monument Valley) and reading books.

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