Tag
FRAPPE is a novel autoencoding framework that uses a projection pursuit encoder to predict residuals from full input, enabling efficient variable-rate image compression with fast CPU-based encoding. At high compression ratios, FRAPPE-Image achieves higher perceptual quality than AVIF with 47x faster encoding, making real-time 1080p 30fps CPU-only encoding possible.
This paper introduces LiVeAction, a lightweight neural codec designed for real-time operation on resource-constrained devices. It utilizes an FFT-like structure and variance-based rate penalty to achieve superior rate-distortion performance while remaining practical for low-power sensors.