1,376 research outputs found

    Animating Unpredictable Effects

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    Uncanny computer-generated animations of splashing waves, billowing smoke clouds, and characters’ flowing hair have become a ubiquitous presence on screens of all types since the 1980s. This Open Access book charts the history of these digital moving images and the software tools that make them. Unpredictable Visual Effects uncovers an institutional and industrial history that saw media industries conducting more private R&D as Cold War federal funding began to wane in the late 1980s. In this context studios and media software companies took concepts used for studying and managing unpredictable systems like markets, weather, and fluids and turned them into tools for animation. Unpredictable Visual Effects theorizes how these animations are part of a paradigm of control evident across society, while at the same time exploring what they can teach us about the relationship between making and knowing

    An Investigation of How Lighting and Rendering Technology Affects Filmmaking Relative to Arnold’s Transition to a GPU-Based Path-Tracer

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    Computer Graphic (CGI) technology enables artists to explore a broad spectrum of approaches and styles, from photorealistic to abstract, expanding the boundaries of traditional aesthetic choices. Recent years have witnessed of 3D-CGI production shift towards greater physical fidelity driven by technological developments as well as consumer demand for realistic visuals; this trend can be found across various creative fields like film, video games, and virtual reality experiences with high-quality textures, lighting, rendering, and physics simulations providing enhanced levels of immersion for users. Arnold is one of the famous rendering engines assisting artists to be more creative while producing photorealistic images. Moreover, Arnold renders the engine as one of the main path-tracing renderers and contributes significantly to more fantastic photorealistic productions. Also, Arnold renders not only Support CPU render but also support GPU rendering to take full advantage of faster computation times and real-time interactivity, among many other advantages. Because of that, this study investigates how new technology like developed GPUs helps artists and filmmakers better comprehend 3D rendering solutions that impact their workflows. On the other hand, philosophically exploring the relationship between making a creative decision and technology within 3D photorealistic rendering reveals an intricate yet dynamic relationship that informs the creative processes of both independent artists and small studios alike. This interaction serves as a reminder that Art is driven forward by its creator\u27s creative energy rather than simply technological capabilities; artists and studios can continue pushing limits by embracing this complex dialogue between creativity and tech, opening new paths within digital Art\u27s fast-evolving realm

    Drawing from motion capture : developing visual languages of animation

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    The work presented in this thesis aims to explore novel approaches of combining motion capture with drawing and 3D animation. As the art form of animation matures, possibilities of hybrid techniques become more feasible, and crosses between traditional and digital media provide new opportunities for artistic expression. 3D computer animation is used for its keyframing and rendering advancements, that result in complex pipelines where different areas of technical and artistic specialists contribute to the end result. Motion capture is mostly used for realistic animation, more often than not for live-action filmmaking, as a visual effect. Realistic animated films depend on retargeting techniques, designed to preserve actors performances with a high degree of accuracy. In this thesis, we investigate alternative production methods that do not depend on retargeting, and provide animators with greater options for experimentation and expressivity. As motion capture data is a great source for naturalistic movements, we aim to combine it with interactive methods such as digital sculpting and 3D drawing. As drawing is predominately used in preproduction, in both the case of realistic animation and visual effects, we embed it instead to alternative production methods, where artists can benefit from improvisation and expression, while emerging in a three-dimensional environment. Additionally, we apply these alternative methods for the visual development of animation, where they become relevant for the creation of specific visual languages that can be used to articulate concrete ideas for storytelling in animation

    THE REALISM OF ALGORITHMIC HUMAN FIGURES A Study of Selected Examples 1964 to 2001

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    It is more than forty years since the first wireframe images of the Boeing Man revealed a stylized hu-man pilot in a simulated pilot's cabin. Since then, it has almost become standard to include scenes in Hollywood movies which incorporate virtual human actors. A trait particularly recognizable in the games industry world-wide is the eagerness to render athletic muscular young men, and young women with hour-glass body-shapes, to traverse dangerous cyberworlds as invincible heroic figures. Tremendous efforts in algorithmic modeling, animation and rendering are spent to produce a realistic and believable appearance of these algorithmic humans. This thesis develops two main strands of research by the interpreting a selection of examples. Firstly, in the computer graphics context, over the forty years, it documents the development of the creation of the naturalistic appearance of images (usually called photorealism ). In particular, it de-scribes and reviews the impact of key algorithms in the course of the journey of the algorithmic human figures towards realism . Secondly, taking a historical perspective, this work provides an analysis of computer graphics in relation to the concept of realism. A comparison of realistic images of human figures throughout history with their algorithmically-generated counterparts allows us to see that computer graphics has both learned from previous and contemporary art movements such as photorealism but also taken out-of-context elements, symbols and properties from these art movements with a questionable naivety. Therefore, this work also offers a critique of the justification of the use of their typical conceptualization in computer graphics. Although the astounding technical achievements in the field of algorithmically-generated human figures are paralleled by an equally astounding disregard for the history of visual culture, from the beginning 1964 till the breakthrough 2001, in the period of the digital information processing machine, a new approach has emerged to meet the apparently incessant desire of humans to create artificial counterparts of themselves. Conversely, the theories of traditional realism have to be extended to include new problems that those active algorithmic human figures present

    Can Computers Create Art?

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    This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized.Comment: to appear in Arts, special issue on Machine as Artist (21st Century

    Towards Infinity And Beyond Branding, Reputation, and the Critical Reception of Pixar Animation Studios

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    American author and journalist Jonah Lehrer declared in 2012 that Pixar Animation Studios was ‘the one exception’ to the oft-cited maxim that, in Hollywood, ‘nobody knows anything.’ Patrick Goldstein of the Los Angeles Times spoke in similar terms in 2008, writing that, ‘critics and audiences are in agreement on one key thing: Nobody makes better movies than Pixar.’ Thirteen consecutive global box office successes and scores of industry awards would seem to suggest that Lehrer and Goldstein are correct. Yet it is important to recognise that such statements invariably refer to something intangible, something beyond a particular Pixar film or selection of films. There exists, in other words, a widely held set of meanings and associations about what the studio represents, and to whom. This thesis argues that this set of meanings and associations – Pixar’s brand identity – is far from the fixed and unambiguous entity it is often seen to be. If the studio has come to be seen as guarantee of quality family entertainment, when did this notion become widespread? Have the parameters for ‘quality’ and ‘success’ remained constant throughout its history? I demonstrate for instance that Pixar benefited considerably from Disney’s wavering reputation from the late-1990s onwards. I approach branding as a discursive process, and one that brand producers sometimes have little control over, contrary to the implicit claims of most marketing literature. Broadly chronological in structure, the thesis traces the development of the studio’s reputation by drawing on Barbara Klinger’s approach to historical reception studies. Individual chapters focus on how Pixar was discussed by critics and journalists at specific moments or in specific contexts, as it evolved from a computer graphics company to become the most celebrated film studio of all time. Ultimately, this is a case study of the cultural work involved in the making of a brand or an auteur, and how these meanings can shift over time

    Focal Spot, Spring 1987

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    https://digitalcommons.wustl.edu/focal_spot_archives/1045/thumbnail.jp

    Computer animation data management: Review of evolution phases and emerging issues

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    The computer animation industry has been booming and prospering in recent thirty years. One of the significant changes faced by this industry is the evolution of computer-animation data and, yet, extant literature has offered very little insights into the evolution process and management issues pertinent to computer-animation data. Hence, many questions have surfaced in the extant literature of computer-animation data management. For example, to what extent has the data content expanded in terms of quantity and quality? To what extent has the information technology used to store and process the data changed? To what extent have the user and the community groups diversified in terms of their nature and number? Knowledge pertaining to these issues can provide new research directions to academics and also insights to practitioners for more effective and innovative management of computer-animation data. This conceptual paper, therefore, takes the pioneering step to address these issues by proposing four factors prudent for examining the evolution phases associated with computer-animation data management: technology, content, users, and community. Next, this paper presents a conceptual framework illustrating the inter-dependent relationships between these four factors together with associated theoretical and managerial issues. This paper, albeit limited by its conceptual nature, advances the extant literature of computer animation, information system, and open-product model

    Computer-Generated Imagery

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