CAP4D：上傳參考圖即可生成高質量4D角色頭像
近日，來自多倫多大學及向量研究所的研究團隊發佈了 CAP4D 模型，這是一種基於形變多視角擴散模型（MMDM）的新技術，能夠通過任意數量的參考圖像生成逼真的4D 頭像。該模型採用雙階段方法，首先利用 MMDM 生成不同視角和表情的圖像，然後將這些生成的圖像與參考圖像結合，重建出一個可實時控制的4D 頭像。在 CAP4D 的工作流程中，用戶可以輸入任意數量的參考圖像，這些圖像將被編碼到變分自編碼器的潛在空間中。接着，使用現成的面部追蹤技術 FlowFace 估計每張參考圖像的3D 形變模型
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