4 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…
Training-Free Continuous Bitrate Control for Scalable Image Coding for Humans and Machines
Yui Tatsumi, Hiroshi Watanabe
Continuous variable-rate compression is highly demanded in real-world applications, but remains underexplored in scalable image coding for humans and machines. In this paper, we pr…
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…
Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation
Luoxu Jin, Hiroshi Watanabe
With the development of video generation models has advanced significantly in recent years, we adopt large-scale image-to-video diffusion models for video frame interpolation. We p…