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.
所有評論:
7 篇使用者評論 - 使用者評論數量不足,無法產生整體評價
發行日期:
2024 年 10 月 8 日
開發人員:
發行商:
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搶先體驗軟體

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備註:這款搶先體驗軟體尚未開發完成,且內容可能會有所變動。如果目前的開發進度未使您產生興趣,建議您等待本軟體開發至下一階段再決定是否購買。了解更多

開發者的話:

為何採用搶先體驗模式?

「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.」

這款軟體的搶先體驗時間大約會持續多久?

「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.」

正式版預計會與搶先體驗版有何不同?

「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.

搶先體驗版目前的開發進度如何?

「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.」

軟體售價在搶先體驗期間前後會有所變動嗎?

「We plan to gradually raise the price as the score and features of the application grow.」

在開發過程中,您打算如何與社群互動?

「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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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 生成內容聲明

開發者針對他們的遊戲使用 AI 生成內容方式的說明如下:

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.

系統需求

    最低配備:
    • 作業系統: Windows 10
    • 記憶體: 4 GB 記憶體
    • 顯示卡: GeForce GTX 750 Ti
    • 儲存空間: 3 GB 可用空間
    • 備註: This application work better in a Nvidia card that support CUDA.

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