autoregressive models 1consistency distillation 1distribution matching 1mode covering 1video distillation 1
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cs.CV2026
StreamFlow: Dynamic Memory Flows for Streaming Video Understanding
Muxin Fu, Yifan Zhang, Wentao Zhang +5
Streaming video understanding requires multimodal large language models (MLLMs) to preserve relevant evidence from continuously evolving streams under strict causality and bounded…
cs.CV2026
DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation
Jiaxing Li, Kai Zou, Cindy Zhou +7
The paper studies autoregressive video distillation, showing that aligning the student model’s mode coverage with the teacher’s distribution improves generation quality and diversi…
cs.CV2024
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Longtao Zheng, Yifan Zhang, Hanzhong Guo +6
Recent advances in video diffusion models have unlocked new potential for realistic audio-driven talking video generation. However, achieving seamless audio-lip synchronization, ma…