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Introduces SEAOTTER, a compression framework for cloud robotics that combines learned latent representations with standard JPEG compatibility, achieving faster encoding/decoding and higher accuracy at extreme compression ratios.
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.