Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
7
result(s) for
"Interior decoration rendering."
Sort by:
Jeremiah : inspired interiors
A look at the American artist Jeremiah Goodman's work capturing professionally designed interiors in his paintings.
Book
Research on Optimization Strategy of Interior Design Process Based on Computer Software Renderings
With the improvement of people’s living standards, there are more and more styles of house decoration design. People find that the accuracy of interior design of traditional houses is very poor. Small errors will affect the visual effect. People gradually focus on the computer software. With the development of computer technology, there are more and more types of interior design. People are also looking for the main way to optimize the design process of computer software. This paper mainly describes the basic principles of interior decoration. On this basis, this paper describes the main production process of computer effect drawing of interior design. Finally, the main optimization strategies are proposed.
Journal Article
Portfolio design for interiors
\"Portfolio Design for Interiors teaches the aspiring interior designer how to create a professional quality portfolio. Using real examples of outstanding student portfolios, authors Harold Linton and William Engel demonstrate how to analyze, organize, problem-solve, and convey diverse types of visual and text information in various forms of historic, contemporary, and innovative styles. The text features a robust art program and examples of various presentation applications, including graduate study, employment, scholarships, grants, competitions, and fellowships. This is an accessible and comprehensive resource for students learning professional portfolio design\"-- Provided by publisher.
Book
Neural Scene Decoration from a Single Photograph
Furnishing and rendering indoor scenes has been a long-standing task for interior design, where artists create a conceptual design for the space, build a 3D model of the space, decorate, and then perform rendering. Although the task is important, it is tedious and requires tremendous effort. In this paper, we introduce a new problem of domain-specific indoor scene image synthesis, namely neural scene decoration. Given a photograph of an empty indoor space and a list of decorations with layout determined by user, we aim to synthesize a new image of the same space with desired furnishing and decorations. Neural scene decoration can be applied to create conceptual interior designs in a simple yet effective manner. Our attempt to this research problem is a novel scene generation architecture that transforms an empty scene and an object layout into a realistic furnished scene photograph. We demonstrate the performance of our proposed method by comparing it with conditional image synthesis baselines built upon prevailing image translation approaches both qualitatively and quantitatively. We conduct extensive experiments to further validate the plausibility and aesthetics of our generated scenes. Our implementation is available at https://github.com/hkust-vgd/neural_scene_decoration.
Paper
