Unverified70% confidenceTradeoffExact time
Video streams are continuously high-frequency data, and if a large model is called for inference on every frame, computational overhead and latency may become bottlenecks.
2
Sources
70%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedLong video generation is a core industry challenge at present; most models can only stably generate clips of a few seconds, with content drift, character inconsistency, and physical logic breakdown occurring as duration increases.76% similarUnverifiedTemporal consistency is a long-standing unresolved challenge in the field of video generation, as early diffusion models sampling each frame independently caused abrupt changes between adjacent frames (commonly known as flickering or hallucination drift).74% similarUnverifiedThe clip length limit for local video generation is constrained by three factors: VRAM usage, temporal consistency, and computational cost.73% similarUnverifiedTechniques such as quantization, speculative decoding, and KV Cache optimization can reduce VLM latency by 30% to 60%, but still cannot meet the frame-level latency requirements of real-time video processing.72% similar
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