Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Activity * n00mkrad commented. n00mkrad. on Jan 27. Owner. I see what you mean. Maybe try adjusting the scene detection threshold? edi fivem edit-2x-RIFE-RIFE4.0-119.8801fps.mp4
RIFE NCNN VS choppy · Issue #379 · n00mkrad/flowframes - GitHub edi fivem edit-2x-RIFE-RIFE4.0-119.8801fps.mp4
: Unlike traditional frame blending, RIFE 4.0 uses a neural network called IFNet to estimate how objects move between frames, creating new, believable frames that reduce motion blur and stutter. edi fivem edit-2x-RIFE-RIFE4.0-119.8801fps.mp4
The technical breakdown of this specific "piece" is as follows:
: This is the resulting frame rate, suggesting the source footage was likely captured at 59.94 fps before being doubled. This high frequency allows for extremely fluid motion or "ultra-smooth" slow-motion effects. Key Features of RIFE 4.0 Edits