FILM

AI-powered frame interpolation tool for high-quality video rendering

  • AI-powered frame interpolation for high-quality video enhancement

  • Trained using frame triplets for accurate results

  • Supports multiple programming languages and libraries

Pricing:

💰 Paid

Features:

🛠️ API

Categories:

#Image & Video

What is FILM

FILM is an AI-powered tool called "Frame Interpolation for Large Scene Motion" that uses a Tensorflow 2 implementation to achieve high-quality frame interpolation in videos. It doesn't rely on pre-trained networks like optical flow or depth and instead uses a multi-scale feature extractor with shared convolution weights across scales. The tool is trainable from frame triplets alone and can be run using various programming languages and libraries such as Node.js, Python, Elixir, and more. It offers options to upload frames, set the number of times the frame interpolator is invoked, and generates an output video with interpolated frames.

Key Features of FILM

- Frame Interpolation: Utilizes a neural network to generate interpolated frames for large scene motion.

- Single-Network Approach: Does not rely on additional pre-trained networks like optical flow or depth.

- Multi-Scale Feature Extractor: Shares the same convolution weights across different scales.

- Trainable Model: Can be trained using frame triplets alone.

- Node.js Client Library: Offers a Node.js client library for easy integration into Node.js projects.

- Python Client Library: Provides a Python client library for easy integration into Python projects.

- Elixir Client Library: Offers an Elixir client library for easy integration into Elixir projects.

- HTTP API: Provides an HTTP API for interacting with the tool.

- Cog Integration: Can be used with Cog, allowing for easy deployment and execution in a local environment.

- Docker Integration: Can be used with Docker, allowing for simple deployment in a local environment.

- Output Video Generation: Generates an output video with interpolated frames.

- Runtime and Cost Efficiency: Runs on Nvidia T4 GPU hardware and typically completes predictions within 41 seconds.

- Frame Interpolation Benchmark Scores: Achieves state-of-the-art results in frame interpolation benchmark scores.

- Technical Report: Supported by a technical report published by Google Research.

- Support and Documentation: Offers support through GitHub and Discord, along with comprehensive guides, terms, and privacy policies.

FILM

AI-powered frame interpolation tool for high-quality video rendering

Key Features

💰 Paid
🛠️ API

Product Embed

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