DESIGN NAME: Procedural Flowers
PRIMARY FUNCTION: Digital Illustration
INSPIRATION: Inspired by the inherent beauty of nature, Procedural Flowers sought to merge organic forms with digital art. I was motivated by the challenge of replicating nature's complexity through code and 3D design. The intricacy and variation in flowers became my muse. The project hinged on Cinema 4D's procedural generation capabilities, coupled with Octane Render for photorealism. It explored technical depth while celebrating nature's aesthetics.
UNIQUE PROPERTIES / PROJECT DESCRIPTION: Procedural Flowers is a CGI illustration series, capturing nature's complexity via Cinema 4D, Octane Render, and Photoshop. It explores intricate, limitless flower formations through procedural generation, offering realism and depth with photorealistic rendering. The final images, enhanced with Photoshop, present a unique, captivating aesthetic.
OPERATION / FLOW / INTERACTION: -
PROJECT DURATION AND LOCATION: -
FITS BEST INTO CATEGORY: Computer Graphics, 3D Modeling, Texturing, and Rendering Design
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PRODUCTION / REALIZATION TECHNOLOGY: Created using Cinema 4D, a leading 3D modeling and animation software, along with Octane Render, a powerful GPU-based renderer, and Adobe Photoshop for post-processing and compositing.
Using a set of rules and parameters, the artist designed intricate and delicate flower formations, allowing for a virtually limitless number of variations. The advanced features of Cinema 4D, such as its modeling and procedural generation capabilities, made it possible to generate complex and realistic flower shapes and forms.
The images were then rendered using Octane Render, which produced photorealistic lighting, textures, and materials, adding depth and dimensionality to the artwork. The final images were enhanced using Photoshop, where the artist adjusted the composition, colors, and other visual elements to achieve a unique and captivating aesthetic.
SPECIFICATIONS / TECHNICAL PROPERTIES: N/A (Digital)
TAGS: CGI, 3D, Render, C4D, Flowers
RESEARCH ABSTRACT: -
CHALLENGE: -
ADDED DATE: 2023-06-29 21:09:09
TEAM MEMBERS (1) :
IMAGE CREDITS: You Zhang, 2023.
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