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此外,HUMOTO incorporates motion-capture data of human-object engagements. The crucial process involves Blender re-simulation: scenes are rendered with humans present, then recomputed with humans excluded, allowing physics to unfold naturally from that moment. This generates physically accurate alternatives—previously supported objects now fall appropriately. Kubric extends this concept to object collisions. Combined, they produce verified parallel video sets with guaranteed physical accuracy, avoiding human estimation.
随着谷歌AI摘要每小时制领域的不断深化发展,我们有理由相信,未来将涌现出更多创新成果和发展机遇。感谢您的阅读,欢迎持续关注后续报道。