4 citations · 5 across the 5 of their papers we have counts for
5 papers
Data-Efficient Brushstroke Generation with Diffusion Models for Oil Painting
Dantong Qin, Alessandro Bozzon, Xian Yang +3
Many creative multimedia systems are built upon visual primitives such as strokes or textures, which are difficult to collect at scale and fundamentally different from natural imag…
Product semantics translation from brain activity via adversarial learning
Pan Wang, Zhifeng Gong, Shuo Wang +5
A small change of design semantics may affect a user's satisfaction with a product. To modify a design semantic of a given product from personalised brain activity via adversarial…
Verifying Design through Generative Visualization of Neural Activities
Pan Wang, Danlin Peng, Simiao Yu +4
Current neuroscience focused approaches for evaluating the effectiveness of a design do not use direct visualisation of mental activity. A recurrent neural network is used as the e…
A General Framework for Revealing Human Mind with auto-encoding GANs
Pan Wang, Rui Zhou, Shuo Wang +6
Addressing the question of visualising human mind could help us to find regions that are associated with observed cognition and responsible for expressing the elusive mental image,…
Generative Creativity: Adversarial Learning for Bionic Design
Simiao Yu, Hao Dong, Pan Wang +2
Bionic design refers to an approach of generative creativity in which a target object (e.g. a floor lamp) is designed to contain features of biological source objects (e.g. flowers…