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金馬57 再現影像_利用Maya以電影 返校 勇奪最佳視覺效果獎

金馬57 再現影像_利用Maya以電影 返校 勇奪最佳視覺效果獎

Customer challenge

在製作過程中,團隊做了大量的取捨與來回修改,「一開始我們想法很單純,是想要用實拍來呈現,然後用 CG 加分。但實際評估後,這樣做反而會比全 CG 打造還難!」 加上特技演員在道具動作表演上也有遇到拍攝問題,才毅然決定轉往全 CG 的製作。

Project goals

在《返校》一作中,由於有些畫面採用 4K 的畫質拍攝,郭憲聰提到,為了要保留後續剪接可以做到數位運鏡的空間,有拍到 8K 的畫質。因應大量的特效鏡頭, 讓算圖工作量成為另一大挑戰。電影版和遊戲中的呈現也有所不同, 角色呈現可說是團隊最具挑戰性的一環。

Solution

捨棄實拍已全 CG 製作, 主要使用 Autodesk Maya 結合 光線採集球、HDR 貼圖,以及紀錄追蹤點、場景紀錄等等, 也有應用簡單的 Previz,運用動態分鏡的形式,提供導演及團隊先確認可能呈現的形式。

Business outcome

在《返校》一作中,由於有些畫面採用 4K 的畫質拍攝,為了要保留後續剪接可以做到數位運鏡的空間,甚至還有拍到 8K 的畫質。因應大量的特效鏡頭, 讓算圖工作量成為另一大挑戰。電影版和遊戲中的呈現也有所不同, 角色呈現可說是團隊最具挑戰性的一環。完整處理 CG 特效場景並搭配 Arnold 的互動式渲染,呈現最高規等級視覺饗宴

Conclusion

【台北電影節】打造《返校》精湛視覺特效! 團隊主視覺特效總監提到 :「雖然很開心可以有機會從零開始打造,但也是一個非常有壓力的過程; 再現影像同時希望,讓台灣的觀眾們知道,台灣也能創造奇幻的視覺特效!」

Project summary

    Duration & delivery

  • 730
  • 2020-09-19

    Autodesk solutions

  • Maya
  • Arnold

    Services provided

  • Design Visualization
  • Rendering & Animation
  • Solution Adoption Services
  • Product Activation & Onboarding

    Customer industry

  • Media & Entertainment
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