軌跡可控！阿里推視頻生成模型Tora 寥寥幾筆讓向日葵轉向
阿里巴巴研究團隊推出的Tora，一款基於軌跡的視頻生成系統，以其高保真度、精確的運動控制和多樣化的輸入特點，在AI視頻創作領域取得了重大突破。與傳統U-Net架構不同，Tora採用先進的Diffusion Transformer（DiT）架構，能夠生成長達60秒的高質量視頻，支持不同分辨率和縱橫比，動作流暢自然，彷彿真實世界的完美復刻。其工作流程包括軌跡編碼、運動塊生成和運動融合，通過將文本、視覺和軌跡條件融爲一體，實現對視頻內容的精準控制。Tora的核心優勢在於其獨特的設計理念，它能夠保持高運動保真度，遵循物理世界運動規律，生成的視頻流暢度和保真度遠超其他方法，特別是在長時間、高分辨率視頻生成中，Tora的軌跡精度甚至達到其他方法的3到5倍。官方演示視頻展示了Tora在寧靜場景、自然與人工融合、火星環境和水下世界的應用，凸顯了其生成的視頻的精緻細節和夢幻氛圍。
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