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Virtual Reality as a Physical Shared Space Social Platform

Social presence, intimacy, & user agency is still an occurring issue in virtual reality experiences that involve social interactions. While remote virtual reality social media has been reiterated numerous times (i.e. AltspaceVR, VRChat, Rec Room), I think a physical shared space virtual reality social platform would be interesting to see in the future, especially with…

Implement a paper of 3D reconstruction.

Kristofer and I found a paper Learning Implicit Fields for Generative Shape Modeling [https://arxiv.org/pdf/1812.02822.pdf], which is about using the implicit function to do 3D reconstruction. They use a DenseNet-like structure. Unlike DeepSDF, they use a binary output. Given a latent vector and a 3D coordinate, the network will output 0/1 which expresses outside/inside. Its structure…

Virtual Obstacles in Gait Balance Assessment

Our balance assessment research is currently at the point of transforming from a stationary standing paradigm into the dynamic walking paradigm. In the standing paradigm, we explored the assessment of anxiety-caused imbalance through various intensity levels of sound and visual flow. However, the dynamic and stationary paradigms are so different that we cannot use the…

Convergence

The recent explosion of deep learning has demonstrated its awesome power, but data driven machine learning isn’t the end of the story. Machine learning is only one piece of the puzzle, in the future it will just be, as Ken has put it, “like a sine function”, could find use everywhere. It will be used…

A brief overview of single-view 3D reconstruction based on Deep Learning

Description As a combination of Computer Graphics and Computer Vision, 3D reconstruction has been a classic problem for a long time. In recent years, with the development of Deep Learning, more and more researchers are focusing on 3D reconstruction with Deep Learning again. Related Work The number of work focus on 3D reconstruction is increasing…