Videos can use inter-frame information to help infer sub-pixel details. This post about "Super Resolution" is interesting because it starts with RAW format (wh

Videos can use inter-frame information to help infer sub-pixel details. This post about "Super Resolution" is interesting because it starts with RAW format (which contains information about camera sensor arrangements), hence, the machine-learned model should not only memorize artificial details (what hair should be look like, what a tree-leaf should be look like etc, and use that to "hallucinate" a higher-resolution details, I liked to call this "hallucination" for that reason), but also relationship between complex interference of different sensors in their corresponding arrangements. You can read more about RAW format and why exposing RAW format for photography is exciting (on everyday's camera, i.e. your phone) from this post: https://blog.halide.cam/understanding-proraw-4eed556d4c54 https://blog.halide.cam/understanding-proraw-4eed556d4c54