Adaptive Fused Prior Transfer for Controllable Generative Image Compression
At very low bitrates, image compression discards fine textures and local structures, while distortion-oriented reconstruction often produces over-smoothed images. Generative codecs synthesize missing details, but existing codebook-based controllable designs generally rely on single-codebook reconstruction priors. We propose Adaptive Fused Prior Transfer for Controllable Generative Image Compression (AFP-GIC), which transfers an image-adaptive fused prior from a frozen pretrained AdaCode model. Encoder-side prior features guide latent formation, while the decoder predicts a compatible fused prior from the compressed representation and control variables, without transmitting the prior itsel...
| Authors | Yifei Pei, Ying Liu, Nam Ling |
|---|---|
| Primary category | eess.IV |
| Published | 16 May 2026 |
| Last updated at source | 5 October 2026 |
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