So the decoding step is running the latent values through a model in order to decode it right? The artifacts are super offputting and are just going to get this

So the decoding step is running the latent values through a model in order to decode it right? The artifacts are super offputting and are just going to get this labelled as slop. I would instead follow a neural texture compression model (e.g. RTXNTC) and generate a small model & latent values when compressing an image. It'll take longer, sure, but as long as it can work in less than 10 seconds on an iPhone I think theres a use case. As it is, idk