Yup. There's another framework called 'Feature-wise Linear Modulate' (FiLM), also related to video, but otherwise unrelated (note the lowercase 'i'); and thanks to Hasbro, Neural Radiance Fields (NeRF) is surprisingly difficult to search (but Hasbro was first, so NeRF not a great choice).

I've seen 2-3 other examples of insane name duplication in CV research in the last couple of months.

FLiM would have been much better, and kind of funny

It'll never happen. Best to qualify when searching "FILM interpolation" or expand when introducing "Frame Interpolation for Large Motion" as was done here. That way you get the best of both worlds, friendly acronym for active use and extremely referenceable name for long term or first time use. The long form is probably what you'd need to do without common abbreviations anyways, weird acronyms just to be unique doesn't help when actively using it now or a decade later when you're trying to reference back to it and nobody knows what gLMFI1 was anyways - unless it becomes extremely popular in which case gLMFI1 is a pain to use all the time.

It’s not a distaster but it is better to use made up names, like filmz, filmy, filmerz, filmstack .. the list goes on.

They give the full proper citation for referencing the work: @inproceedings{reda2022film, title = {FILM: Frame Interpolation for Large Motion}, author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2022} }