The original title is "I Compressed Bad Apple into a 3MB Neural Network [P]"

Short summary

A developer trained a 790k-parameter SIREN MLP to memorize the entire Bad Apple animation in 3.2 MB, compressing ~2.7 billion pixels into a neural implicit representation. Key innovations included time-stretching the temporal coordinate 4x and using motion-focused sampling to prioritize changed pixels, dropping validation MSE from 0.0795 to 0.0090. The project demonstrates how sine-activation networks can serve as compact video codecs with tunable quality trade-offs.

• •790k SIREN MLP compresses Bad Apple video to 3.2MB float32
• •Motion-focused sampling and 4x time-stretch cut MSE by ~9x
• •398/400 sampled frames improved over baseline ReLU model

Generated with AI, which can make mistakes.