4 ms·

Or low connectivity scenarios that pushes more local processing. I think it a bit unimaginative to see no use cases for this.

• constantcrying 2y ago
  There is no use case, because it is a stupid idea. Downscaling then reconstructing is a stupid idea for exactly the same reasons why downscaling for compression is a bad idea. The issue isn't NN reconstruction, but that you are reconstructing the wrong data.
  • adgjlsfhk1 2y ago
    if the nn is part of the codec, you can choose to only downscale the regions that get reconstructed correctly.
    • constantcrying 2y ago
      Why would you not let the NN work on the compressed data? That is actually where the information is.
      • adgjlsfhk1 2y ago
        that's like asking why you don't train a llm on gzipped text. the compressed data is much harder to reason about