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.

The technical breakdown of this specific "piece" is as follows:

: This indicates the source material is a FiveM "edit" or montage, likely featuring gameplay cinematic shots captured in-engine. edi fivem edit-2x-RIFE-RIFE4.0-119.8801fps.mp4

RIFE NCNN VS choppy · Issue #379 · n00mkrad/flowframes - GitHub

: Versions like RIFE 4.0 are optimized for speed, allowing editors to process high-resolution FiveM footage (like 720p or 1080p) relatively quickly on modern GPUs. : Unlike traditional frame blending, RIFE 4

: 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

Activity * n00mkrad commented. n00mkrad. on Jan 27. Owner. I see what you mean. Maybe try adjusting the scene detection threshold? : This is the resulting frame rate, suggesting

Real-Time Intermediate Flow Estimation for Video Frame Interpolation