27 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Goldsmiths University of LondonGB5 papers
- Queen Mary University of LondonGB2 papers
- Australian Regenerative Medicine InstituteAU1 paper
- Beijing Normal UniversityCN1 paper
- City University of Hong KongHK1 paper
- Concordia UniversityCA1 paper
- Hunan UniversityCN1 paper
- Institute of SeismologyKZ1 paper
- Kingston University LondonGB1 paper
- Monash UniversityAU1 paper
- New York UniversityUS1 paper
- Queen's University BelfastGB1 paper
3 papers · 1 filter
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
Sebastian Berns, Terence Broad, Christian Guckelsberger +1
We present a framework for automating generative deep learning with a specific focus on artistic applications. The framework provides opportunities to hand over creative responsibi…
Transforming the output of GANs by fine-tuning them with features from different datasets
Terence Broad, Mick Grierson
In this work we present a method for fine-tuning pre-trained GANs with features from different datasets, resulting in the transformation of the output distribution into a new distr…
Searching for an (un)stable equilibrium: experiments in training generative models without data
Terence Broad, Mick Grierson
This paper details a developing artistic practice around an ongoing series of works called (un)stable equilibrium. These works are the product of using modern machine toolkits to t…