RIFE (ECCV2022)

Real-time flow-based video frame interpolation model, widely used as the backend for many interpolation tools.

Link

Related resources

  • FILM: Frame Interpolation for Large MotionGoogle Research's unified neural network for video frame interpolation handling large motion without requiring optical flow or depth estima…
  • Track-AnythingInteractive video object tracking and segmentation tool built on Segment Anything, XMem, and E2FGVI, feeding video inpainting pipelines.
  • ProPainterICCV 2023 video inpainting tool for object removal/completion using propagation and transformer-based approach, CLI-usable.
  • silero-vadEnterprise-grade, lightweight pretrained voice activity detection model, widely used for speech/silence segmentation.
  • VFIPSPerceptual quality metric specifically for video frame interpolation artifacts, PyTorch implementation.
  • CAMP-VQAWACV 2026 caption-embedded multimodal no-reference VQA model for compressed video, with code and HF demo.
  • ffmpeg-queueFastify + Redis job queue for dispatching FFmpeg transcoding jobs, Docker Compose ready, production-used.
  • PXNR No-Reference Video Quality EstimationEricsson's sample implementation of the ITU-T P.NATS phase 2 no-reference video quality estimation module.
  • fssimu2Zig implementation of SSIMULACRA2 metric, ~23% faster and ~40% less memory than the reference implementation.
  • BVQA_BenchmarkBlind (no-reference) VQA benchmarking toolkit comparing multiple models.