Probably no computer-related technology has received more attention on the PC side than GPUs. NVidia launched the 3000 series of cards with aggressive pricing that completely obliterate the previous 2000 series GPUs for much less money. Things are great for PC gamers, machine learning coders, and 3D animators in 2020 with these levels of performance except for the fact that there is a complete scarcity of GPU cards in most lines including but not limited to the 2000 and 3000 series for a variety of reasons.
Dain app the machine learning frame rate interpolation software uses CUDA v5.0 as the minimum requirement or a GeForce GTX 750 as the minimum card to run it. But that does not mean it will be fast or be able to finish interpolating your high res footage. In fact, a 720p clip interpolated frame rate needs about 10-11GB of VRAM memory on the card as it runs the entirety of the calculation in video memory for predictive algorithms to work.
We got over 20 messages with essentially the same video sample in our inbox this week. They all touted the new interpolation from the DAIN experimental App or (Depth Aware Video Interpolation App) which now analyses footage with a Neural network AI algorithm that crunches motion vectors and even what seemed impossible before “Object Occlusion” to generate higher frame rates from lower fps sources. The technology is pretty fascinating and should be further improved by more training and samples over the coming years.
For stop motion animators, this is a complete game-changer as now you could animate with as little as 8fps and then interpolate to 30fps or 60fps with very little in the way of tearing and artifacting as long as the footage is well lit and objects clearly defined. To make matters more interesting, it also analyses footage with shallow depth of field yielding impressive results.
The video editing software Filmora has compounded a list of the top ten slow motion video editing software packages for personal computers. While you can clearly see this is in some way an article to attract an audience for their product, you can also learn about products you didn’t know existed as options. Even Filmora was to us a product that was not really on the radar but now is. Especially at the cheap price of $59.99 for a lifetime license with no subscriptions. We are not advertising any product, in particular, You can see the Top Ten Slow Mo Software List Here!
Our software of choice has always been Adobe After Effects with the Time Warp feature but we can understand why the subscription model for Adobe CC products can be a little too much to ask for many. The list here also shows completely free products like Avi Synth which is very powerful but not easy to use and other optical flow software that can really slow regular video and higher frame rates to a crawl. However, we consider interpolation fake slow motion as we noted in our article here! Nvidia’s new Machine Learning Algorithm is very impressive and shows the way forward for converting regular video to higher frame rates with surprisingly amazing results. Tell us what you think – HSC
NVIDIA has been hard at work on the problem posed by high frame rate interpolation of video data shot on lower fps. We have had this tech since the late 1990s with the advent of Twixtor and refined over the decades in systems like Twixtor Pro and Adobe’s Optical Flow in After Effects. You are still not getting real temporal detail data since the frames are created by extrapolating velocity and direction vectors plus pixel values between frames to get the result.
We explored this technique in our post on interpolation here and why it is no substitute from a real slow motion camera solution. NVIDIA’s new method uses machine learning along with 11,000 videos to arrive at a more convincing result. Considering the relatively small sample size we can imagine a future where hundreds of thousands or millions of footage samples are used to generate near flawless interpolation. This technique takes some serious computation and data sets so as of now it is not really ready for the mass market but that could change with the cloud very soon.
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