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Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces
Current state-of-the-art neural-network-based image compression systems however use only one scale to transmit the latent space.
Learning True Rate-Distortion-Optimization for End-To-End Image Compression
Even though rate-distortion optimization is a crucial part of traditional image and video compression, not many approaches exist which transfer this concept to end-to-end-trained image compression.
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