17 citations · 29 across the 8 of their papers we have counts for
8 papers
Beyond Following: Mixing Active Initiative into Computational Creativity
Zhiyu Lin, Upol Ehsan, Rohan Agarwal +3
Generative Artificial Intelligence (AI) encounters limitations in efficiency and fairness within the realm of Procedural Content Generation (PCG) when human creators solely drive a…
A Controllable Co-Creative Agent for Game System Design
Rohan Agarwal, Zhiyu Lin, Mark Riedl
Many advancements have been made in procedural content generation for games, and with mixed-initiative co-creativity, have the potential for great benefits to human designers. Howe…
Creativity as Variations on a Theme: Formalizations, Evidence, and Engineered Applications
Rohan Agarwal
There are many philosophies and theories on what creativity is and how it works, but one popular idea is that of variations on a theme and intersection of concepts. This literature…
Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems
Zhiyu Lin, Upol Ehsan, Rohan Agarwal +3
Generative Artificial Intelligence systems have been developed for image, code, story, and game generation with the goal of facilitating human creativity. Recent work on neural gen…
Efficient 3D Object Reconstruction using Visual Transformers
Rohan Agarwal, Wei Zhou, Xiaofeng Wu +1
Reconstructing a 3D object from a 2D image is a well-researched vision problem, with many kinds of deep learning techniques having been tried. Most commonly, 3D convolutional appro…
Content-Based Search for Deep Generative Models
Daohan Lu, Sheng-Yu Wang, Nupur Kumari +4
The growing proliferation of customized and pretrained generative models has made it infeasible for a user to be fully cognizant of every model in existence. To address this need,…
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings
Zhiyu Lin, Rohan Agarwal, Mark Riedl
Recent neural generation systems have demonstrated the potential for procedurally generating game content, images, stories, and more. However, most neural generation algorithms are…
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification
Rohan Agarwal, Aman Aziz, Aditya Suraj Krishnan +2
Hyperspectral image (HSI) classification is a topic of active research. One of the main challenges of HSI classification is the lack of reliable labelled samples. Various semi-supe…