mirror of
https://github.com/hzwer/ECCV2022-RIFE.git
synced 2025-12-16 08:27:45 +01:00
Update README.md
This commit is contained in:
@@ -2,7 +2,7 @@
|
||||
## Introduction
|
||||
This project is the implement of [Real-Time Intermediate Flow Estimation for Video Frame Interpolation](https://arxiv.org/abs/2011.06294). Currently, our model can run 30+FPS for 2X 720p interpolation on a 2080Ti GPU. It supports arbitrary-timestep interpolation between a pair of images.
|
||||
|
||||
**2024.08 - We find that [4.22.lite](https://github.com/hzwer/Practical-RIFE/tree/main?tab=readme-ov-file#model-list) is quite suitable for post-processing of some diffusion model generated videos. For example, it can increase the original 15fps to 60fps.**
|
||||
**2024.08 - We find that [4.22.lite](https://github.com/hzwer/Practical-RIFE/tree/main?tab=readme-ov-file#model-list) is quite suitable for post-processing of [some diffusion model generated videos](https://drive.google.com/drive/folders/1hSzUn10Era3JCaVz0Z5Eg4wT9R6eJ9U9?usp=sharing).**
|
||||
|
||||
2023.11 - We recently release new [v4.7-4.10](https://github.com/hzwer/Practical-RIFE/tree/main#model-list) optimized for anime scenes! We draw from [SAFA](https://github.com/megvii-research/WACV2024-SAFA/tree/main)’s research.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user