ScalablePromptus: Scalable and High-Fidelity Prompt-Based Video Streaming
Prompt-based video streaming transmits compact semantic prompts instead of pixel-level content for generative reconstruction, enabling ultra-low-bitrate communication. However, the state-of-the-art Promptus framework is vulnerable to network fluctuation, where partially received prompts lead to catastrophic quality collapse. We propose ScalablePromptus, which enhances Promptus with semantic and color-aware prompt inversion, spherical linear interpolation for intermediate frames, and--most critically--a dropout training strategy that produces rank-ordered prompt representations. This allows the receiver to reconstruct meaningful video from arbitrarily truncated prompts without any adaptati...
| Authors | Zehao Cao, Bowei Xu, Xun Cao et al. |
|---|---|
| Primary category | eess.IV |
| Published | 28 July 2026 |
| Last updated at source | 28 July 2026 |
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