Edi Fivem Edit-2x-rife-rife4.0-119.8801fps.mp4 -

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

: The original footage was processed using RIFE 4.0 (Real-Time Intermediate Flow Estimation) to double the frame rate by generating AI-interpolated intermediate frames. edi fivem edit-2x-RIFE-RIFE4.0-119.8801fps.mp4

Real-Time Intermediate Flow Estimation for Video Frame Interpolation RIFE NCNN VS choppy · Issue #379 ·

: 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. : This is the resulting frame rate, suggesting

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

: 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.

: 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