Improve the framerate of any video, gif or group of images by 2X/4X/8X/16X using neural networks generating videos with a high FPS.
全部评测:
多半好评 (18) - 此软件的 18 篇用户评测中有 77% 为好评。
发行日期:
2024 年 10 月 8 日
开发商:
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抢先体验软件

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注意:该抢先体验的软件内容尚不完整且也许会发生变化。如果您目前不是特别想使用这款软件,那么您 应该等待一段时间来观察软件的开发进度。了解更多

开发者的话:

为何要采用抢先体验这种模式?

“While the application is ready in its current state, it is difficult to predict how it will perform on every system. It will likely be necessary to fix bugs that may arise from different system and video combinations. Since video editing is a very complex field, I also expect many suggestions for tools and features to implement, which I plan to add during the early access period.”

这款软件的抢先体验状态大约持续多久?

“We plan to keep the software in Early Access while we develop new options for the tool and refine existing features based on user feedback.”

计划中的完整版本和抢先体验版本到底有多少不同?

“In addition to features that may be suggested by the community, we already have some ideas planned for implementation, such as:

  • Upscalers
  • Improved rendering speed, potentially in real-time
  • Preview of the video being rendered
  • New video codecs
  • Improved interpolation
  • More flexible final FPS.

抢先体验版本的现状如何?

“The Early Access version includes all the core features listed in the 'About This' section. Users can currently enjoy motion interpolation functionalities and other implemented tools. Please refer to that section for detailed information on the features available.”

在抢先体验期间和结束之后,这款软件的价格会有所不同吗?

“We plan to gradually raise the price as the score and features of the application grow.”

在开发过程中,你们是如何计划让玩家社区参与进来的?

“The primary method will be through feedback using the Steam forum, whether for requests for assistance, new tools and features, or simply suggestions for the application. As new features are implemented in the app, the community can also provide feedback on improvements and adjustments to these features.”
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关于此软件

FrameFusion Motion Interpolation improve the framerate of any video, gif or group of images by 2X/4X/8X/16X


This application that uses neural networks to generate optical flows between two frames of a video. By using these flows, the application merges the frames into a new one, effectively increasing the number of frames in the video output.

The application allows you to select multiple videos, GIFs, or images in formats like PNG/JPG/BMP for interpolation, producing a new video with a higher FPS than the original.

Key Features:
  • Choose from four different models for interpolation: options for live-action or animation, with the ability to render in high quality or with faster speeds.
  • Optimized for Nvidia GPUs with CUDA support but also compatible with AMD GPUs and CPUs.
  • Manage a queue of files for batch processing, with a progress bar to track how long each file will take.
  • For static images like PNG, you can select a folder of files and manually choose an FPS to use.

Export Options:
  • Export Frames: Generates a .PNG file for each processed frame, including the newly interpolated ones.
  • Export Motion Flow: Exports a PNG visualization of the optical flow.
  • Export Video Side-By-Side: Exports the original video alongside the interpolated video for comparison.
  • Export Video Cut in Half: Exports the left side of the video as the original and the right side as the interpolation, split down the middle for comparison.

Video Modifications:
  • Perfect Loop Video: Creates new frames between the last frame and the first frame of a video to create a perfect loop.
  • Remove Static Frames: Especially useful for animations, this option removes static frames to enhance the fluidity of the final video.
  • Skip Scene Changes: Detects scene changes and avoids interpolation to reduce artifacts in these transitions.

Supports frame multipliers, allowing you to output videos with higher FPS. For example, a video with 24fps can be interpolated to:
  • 2X: 48fps
  • 4X: 96fps
  • 8X: 192fps
  • 16X: 384fps

AI 生成内容披露

开发者对其游戏如何使用 AI 生成内容的描述如下:

The app processes the frames from the video and uses AI to predict how much movement each pixel has along the X and Y axes. The AI model then generates optical flow data for both axes, which are just floating-point numbers for X and Y.

With this information, traditional methods are used to create a new frame by combining parts of the two original frames. The AI doesn't generate new RGB data; it only uses the RGB data from the original frames.

系统需求

    最低配置:
    • 操作系统: Windows 10
    • 内存: 4 GB RAM
    • 显卡: GeForce GTX 750 Ti
    • 存储空间: 需要 3 GB 可用空间
    • 附注事项: This application work better in a Nvidia card that support CUDA.

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