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StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation

Research Multimodal & Generative

Merged summary

TL;DR - StreamHOI is a low-latency framework for streaming, long-duration human–object interaction video generation. Its interaction-aware temporal memory design preserves visual consistency while reaching 17.6 FPS with 0.75-second first-chunk latency.

  • Profiles transformer blocks to identify differing memory needs for interaction and surrounding regions.
  • Uses bias-guided, memory-specialized training to adapt blocks to tailored historical-memory layouts.
  • Adds memory-distance scaling to improve access to early interaction states over long sequences.
  • Reports strong interaction plausibility, object fidelity, human quality, and efficiency versus long-video and HOI baselines.

Sources (1)

StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation

arXiv cs.CV Zejing Rao, Haoxian Zhang, Xiaoqiang Liu, Yiping Meng, Guoxin Zhang, Pengfei Wan, Fan Tang, Tong-Yee Lee 2026-07-22 arXiv:2607.20174

TL;DR - StreamHOI is a low-latency framework for streaming, long-duration human–object interaction video generation. Its interaction-aware temporal memory design preserves visual consistency while reaching 17.6 FPS with 0.75-second first-chunk latency.

  • Profiles transformer blocks to identify differing memory needs for interaction and surrounding regions.
  • Uses bias-guided, memory-specialized training to adapt blocks to tailored historical-memory layouts.
  • Adds memory-distance scaling to improve access to early interaction states over long sequences.
  • Reports strong interaction plausibility, object fidelity, human quality, and efficiency versus long-video and HOI baselines.
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