5 papers
GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression
Ziyue Zeng, Dingjie Peng, Xun Su +1
Codebook-driven generative compression uses a pretrained image or video generator as a zero-shot visual prior and transmits compact codebook indices to guide reconstruction at ultr…
GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow
Ziyue Zeng, Xun Su, Haoyuan Liu +3
At ultra-low bitrates, high-fidelity reconstruction requires sampling plausible videos from the posterior rather than regressing to oversmoothed conditional means. We propose Gener…
Training-Free Adaptive Quantization for Variable Rate Image Coding for Machines
Yui Tatsumi, Ziyue Zeng, Hiroshi Watanabe
Image Coding for Machines (ICM) has become increasingly important with the rapid integration of computer vision technology into real-world applications. However, most neural networ…
Explicit Residual-Based Scalable Image Coding for Humans and Machines
Yui Tatsumi, Ziyue Zeng, Hiroshi Watanabe
Scalable image compression is a technique that progressively reconstructs multiple versions of an image for different requirements. In recent years, images have increasingly been c…
Seed Selection for Human-Oriented Image Reconstruction via Guided Diffusion
Yui Tatsumi, Ziyue Zeng, Hiroshi Watanabe
Conventional methods for scalable image coding for humans and machines require the transmission of additional information to achieve scalability. A recent diffusion-based approach…