A learned product-quantization VAE with a shared codebook compresses CLIP image features to about 2-3 x 10^-3 bits per pixel with little loss in downstream semantic task accuracy.
LotteryCodec: Searching the implicit representation in a random network for low-complexity image compression,
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Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models
A learned product-quantization VAE with a shared codebook compresses CLIP image features to about 2-3 x 10^-3 bits per pixel with little loss in downstream semantic task accuracy.