Towards machine learning as an enabler of computational creativity

D Mateja, A Heinzl - IEEE Transactions on Artificial Intelligence, 2021 - ieeexplore.ieee.org
Computational creativity composes a collection of activities that are capable of achieving or
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …

3DSTNet: Neural 3D Shape Style Transfer

A Upadhyay, A Dubey, SM Kuriakose… - … on Multimedia and …, 2022 - ieeexplore.ieee.org
In this work, we propose a 3D style transfer framework, 3DSTNet, to transfer shape or
geometric properties from style to content 3D objects. We analyze the effects of multiple …

3DStyleMerge: Part-Compatible 3D Style Transfer

A Upadhyay, A Dubey, SM Kuriakose - The AAAI-23 Workshop on …, 2023 - openreview.net
In this work, we propose a 3D style transfer framework, 3DStyleMerge, that transfers style
elements from style to content 3D objects. We apply a combination of learning-based and …