像素藝術是一種現代的數位藝術，圖形需要在有限的空間下用像素和顏色去表達。在本篇論文中，我們探討了兩個關於像素藝術的應用。
在第一部份，我們提出了一個新穎的計算框架，可以自動化的從像素藝術中產生樂高模型。樂高是一種很受歡迎的玩具，它提供了一種很方便的方式去塑造幾何模型。有別於以往的研究都是注重在3D 模型的轉換上，像素藝術具有很豐富的視覺內涵可以用來結合樂高的設計，除此之外像素藝術的性質和如何去用來建立模型也是一個新的挑戰。在這個研究中，我們在同時考慮到視覺的品質和最後模型的穩定性下建立了一套設計標準。
在第二部分，我們提出了一個針對像素藝術特製的動畫框架。繪製像素藝術是一個很耗費時間和需要技巧的工作，因為需要用有限的像素去表達複雜的形狀。不意外地，繪製像素藝術動畫是更困難的，因為需要額外再考慮影格間的關聯性。目前的系統都需要使用者一個影格一個影格的繪製，這是一件非常耗時而且容易出錯的工作。我們的系統根據傳統的關鍵影格框架和最新的圖形變形技術去產生初始動畫，之後在同時考慮到的視覺品質和影格間的關聯性下，去優化每條像素線條。

Pixel art is a modern digital art in which high resolution images are abstracted into low resolution pixelated outputs using concise outlines and reduced color palettes. In this work, we conduct research on two applications of Pixel art.
In the first part, we present a novel computational framework to automatically construct brick sculptures from pixel art. LEGO®, a popular brick-based toy construction system, provides an affordable and convenient way of fabricating geometric shapes. In contrast to previous efforts that focus on 3D models, pixel art contains rich visual contents for generating engaging LEGO designs. On the other hand, the characteristics of pixel art and corresponding brick sculpture pose new challenges to the design process. In this work, we implement a set of design guidelines concerning the visual quality as well as the structural stability of built sculptures.
In the second part, we present a novel animation framework tailored to pixel art images. Creating pixel art is a labor intensive and skill-demanding process due to the challenge of using limited pixels to represent complicated shapes. Not surprisingly, generating pixel art animation is even harder given the additional constraints imposed in the temporal domain. Existing systems typically request users to craft individual pixels frame by frame, which is a tedious and error-prone process. Our system bases on conventional keyframe animation framework and state-of-the-art image warping techniques to generate an initial animation sequence. The system then jointly optimizes the prominent feature lines of individual frames respecting three metrics that capture the quality of the animation sequence in both spatial and temporal domains.

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