What Matters in Practical Learned Image Compression

The article introduces ML-PICO, a practical system for learned image compression, focusing on what design choices matter for real-world deployment rather than just rate-distortion performance. It presents findings on architecture, entropy modeling, and engineering trade-offs to make learned compression viable in practice.