What do Real-ESRGAN (super-resolution), RIFE and FILM (frame interpolation) each take as input and produce, and which documented settings should a newcomer know first?

Partially verified: the curator re-read none of the cited sources; S1, S6, S9 rest on the producer's pinned reading. Real-ESRGAN enlarges single images (and frame-by-frame video) by a model-specific factor; RIFE and FILM synthesise new frames between two input frames, which changes frame count or speed, not resolution. The READMEs at the pinned commits document the CLI settings: scale/tile/precision/face-enhance for Real-ESRGAN; exp/multi, scale and fps for RIFE; times_to_interpolate and block grid for FILM. All three are research code run from Python; none of the READMEs read states a finishing-pipeline recommendation for broadcast delivery. Curator qualifications: Partially verified: the curator re-read none of the cited sources; S1, S6, S9 rest on the producer's pinned reading. Curator GET 2026-10-23 of the sources not re-read (mechanical source evidence, not semantic verification): S1: HTTP 200, bytes differ from the producer pin; S6: HTTP 200, bytes differ from the producer pin; S9: HTTP 200, bytes differ from the producer pin. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://github.com/xinntao/Real-ESRGAN/blob/a4abfb2979a7bbff3f69f58f58ae324608821e27/README.md",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/hzwer/ECCV2022-RIFE/blob/5d8adbdd40e12c2c8f91930eff838aebe561c086/README.md",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/google-research/frame-interpolation/blob/69f8708f08e62c2edf46a27616a4bfcf083e2076/README.md",
      "note": "candidate evidence excerpts"
    }
  ]
}