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A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
WorldCache achieves up to 3.7x speedups in diffusion-based world models by intelligently caching and selectively recomputing tokens, making interactive and long-horizon rollouts far more practical.
An animation framework trained on just two characters can generalize to animating scenes with many more, without sacrificing single-character performance.
