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1. link.springer.com › content › pdfDreamscape: Using AI to Create Speculative VR Environments

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   cityscapes and visualize them within an immersive virtual reality (VR) envi-ronment. Leading to the creation of “Dreamscape AI”, a tool for architectural investigation. Culminating in an exploration within the future of video games design wherein AI leads to self-generative gamespaces and their graphics being user-driven.

   • Author: Rishab Jain

   • Publish Year: 2020

2. link.springer.com › chapter › 10Dreamscape: Using AI to Create Speculative VR Environments

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   • Stylegan For Image Generation
   • Interpolation, What’s That?
   • Latent Space, What’s That?
   • Dreamscape Generator: Ai Test in VR
   • Latent Space Exploration in VR
   • Workflow For 3-D Data Extraction from Visualizations
   • Depth Analysis
   • Segmentation
   • Feature Recognition

   This section explores StyleGAN to generate unique and fictional images of maps, landscapes, and cities. StyleGAN is a generative adversarial network that fabricates new images based on features found in images of the training data set. StyleGAN is a tool created by the NVIDIA team in late 2018 . Essentially, a StyleGAN trained on a dataset of the f...

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   Derived from mathematics, interpolation is a type of estimation between two data points and creates a mean data point between them. Within computer graphics, this has been used as a way to create filler frames between two keyframes. Often used to increase frame rate, using semi-automated processes .

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   Latent by definition means hidden. Latent space the visualization of compressed data. It is the visualization of compression that takes place within the layers of the neural network, the representation of dimensional reduction as features during the learning process are extracted. Imagine this as the memory bank of the GAN, one can access this thro...

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   Leveraging StyleGAN and latent space, the next phase of the project led to exploration in the creation of an immersive experience using available AI tools. Softwares like Unreal Engine and Unity are designed to generate and visualize space for VR. As a starting point, raw data is harnessed from Google Street View, downloading 360-degree images (Fig...

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   This section explores the potential of using interpolation within VR. The potential for doing this is to bring to life the immersive environment. It could be used to simulate the dimension of time and/or simulate movement. Changing the visual spaces by transforming the images that we view. A simple example of this can be seen in the time lapse imag...

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   The exploration up till now has focused on the issues relating to backgrounds. This experiment attempts to bring the background to life and make use of the generated data. To inhabit this data and explore it within game space and architectural design the following experiment is speculative on methods of extracting 3-D information from the latent sp...

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   In 3-D computer vision, a depth map is an image or image channel that contains information relating to the distance of the surfaces of scene objects from a viewpoint. Depth analysis becomes a process of using AI to project into the image gathering information and create a depth map from it. It is a fundamental process for many applications includin...

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   Segmentation is the process of recognizing the different elements within the given image. For example (as seen in Fig. 15), detecting buildings, dogs, humans, creating an outline around them, and separating them out. It is a combination of object detection and edge analysis helping us break down the components of the image.

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   Similar to segmentation, feature recognition breaks down and identifies the element within the image. In this particular case, it breaks down the identified elements further for example in case of a building separating out windows, doors, and walls to give us specific information about the form and placement of features . Examples of this recogniti...

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   • Author: Rishab Jain
   • Email: rishab.jain@yale.edu

   • Publish Year: 2020

3. www.researchgate.net › publication › 371857738(PDF) DREAMSCAPE: Use of Virtual Reality in Architectural ...

   www.researchgate.net › publication › 371857738

   Mar 24, 2023 · This study introduces the DREAMSCAPE framework, which adopts a direct manipulation approach and emphasizes embodiment, experience, and manipulation activities during the design process.

4. www.dreamscapelearn.com › productsProducts - Dreamscape Learn

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   Dreamscape Learn can take you and your students there in beautifully, accurately rendered fully immersive worlds while enabling collaborative interaction among students and between teacher and students fully equipped with the academic tools needed for teaching, investigation and learning.

5. engineering.asu.edu › news › asu-students-createASU students create time-travel experience in Dreamscape ...

   engineering.asu.edu › news › asu-students-create

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   Dec 3, 2021 · In 2020, ASU partnered with the company to form Dreamscape Learn to create fully immersive virtual reality learning systems for the ASU community and beyond. At Friday’s presentation, ASU President Michael Crow told the students that virtual reality is an important way to teach.

6. pdfs.semanticscholar.org › c028 › dab42163aebaf9b16Dreamscape Bricks VR: An Experimental Virtual Reality Tool ...

   pdfs.semanticscholar.org › c028 › dab42163aebaf9b16

   This paper presents Dreamscape Bricks VR, a prototype experimental design tool using the DREAMSCAPE framework, which was developed for use in architectural design and education. This tool aims to provide an intuitive design environment for users in immersive virtual reality using LEGO bricks as base design components. The

7. People also ask

   What is Dreamscape AI?

   • Leading to the creation of “Dreamscape AI”, a tool for architectural investigation. Culminating in an exploration within the future of video games design wherein AI leads to self-generative gamespaces and their graphics being user-driven. 1 Can AI Dream Us an Alternate Reality? Dreamscape AI is a tool for wonder and exploration of the digital city.

   Dreamscape: Using AI to Create Speculative VR Environments

   link.springer.com/chapter/10.1007/978-3-030-63089-8_60

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   Can generative adversarial networks speculate unseen Dreamscapes?

   • This paper explores machine learning tools such as generative adversarial networks, and their ability to speculate unseen Dreamscapes, using data from the real world. The research leverages creative AI as a generating agent to speculate cityscapes and visualize them within an immersive virtual reality (VR) environment.

   Dreamscape: Using AI to Create Speculative VR Environments

   link.springer.com/chapter/10.1007/978-3-030-63089-8_60

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   What is Dreamscape & how does it work?

   • To dream and visualize change is a luxury that most people don’t have, but once they can imagine it, it enters into the realm of possibility. Dreamscape is a tool to empower people, communities, and designers to speculate new possibilities, to visualize change outside the existing context, in the hope to conjure up different futures.

   Dreamscape: Using AI to Create Speculative VR Environments

   link.springer.com/chapter/10.1007/978-3-030-63089-8_60

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   Are Dreamscapes an agent for game designers and architects?

   • The last part of the paper explores the implications of dreamscapes as an agent for game designers and architects. The applications of AI in game design are plentiful, ranging from machine-generated worlds to new story experiences visualized through avant-garde render mods.

   Dreamscape: Using AI to Create Speculative VR Environments

   link.springer.com/chapter/10.1007/978-3-030-63089-8_60

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   Can a dreamscape AI generator run in realtime?

   • In order to run such a Dreamscape AI generator in realtime one would require an immense amount of processing power, but this will get more feasible as technology advances. Resolution and clarity of the output would be the second hurdle, but this too is linked to the question of processing power and processing of pre-trained data.

   Dreamscape: Using AI to Create Speculative VR Environments

   link.springer.com/chapter/10.1007/978-3-030-63089-8_60

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   What is a depth map in 3D computer vision?

   • Fig. 13. In 3-D computer vision, a depth map is an image or image channel that contains information relating to the distance of the surfaces of scene objects from a viewpoint. Depth analysis becomes a process of using AI to project into the image gathering information and create a depth map from it.

   Dreamscape: Using AI to Create Speculative VR Environments

   link.springer.com/chapter/10.1007/978-3-030-63089-8_60

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8. www.researchgate.net › publication › 361385306(PDF) Dreamscape Bricks VR: An Experimental Virtual Reality ...

   www.researchgate.net › publication › 361385306

   Jun 10, 2022 · In this paper, we propose a VR design tool framework called DREAMSCAPE, which adopts a direct manipulation approach focusing on embody, experience, and manipulation activities in design.