A dictionary-based multi-item codec sparsely projects CLIP image embeddings onto learned semantic atoms and regenerates images with unCLIP, reaching about 1e-4 BPP per image on a 5000-image collection.
Novel image set compression algorithm using rate-distortion optimized multiple reference image selection,
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SMIC: Semantic Multi-Item Compression based on CLIP dictionary
A dictionary-based multi-item codec sparsely projects CLIP image embeddings onto learned semantic atoms and regenerates images with unCLIP, reaching about 1e-4 BPP per image on a 5000-image collection.