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Real-time video generation reduces time-to-first-frame and streaming latency for instant feedback.
Runway shared a broader look at its research efforts in real-time video generation, detailing its approach to post-training base foundation models such as Gen-4.5 to achieve causal, autoregressive generation with streaming outputs.
The company described a two-stage distillation process—off-policy then on-policy—to speed up generation and reduce error accumulation, and noted that real-time generation moves the compute bottleneck from training to inference.
From the source
Today, we’re sharing a broader look at our research efforts in real-time video generation.
runway.com