1 citations · 2 across the 6 of their papers we have counts for
6 papers
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
Kiymet Akdemir, Pinar Yanardag
Text-to-image diffusion models have recently taken center stage as pivotal tools in promoting visual creativity across an array of domains such as comic book artistry, children's l…
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models
Hidir Yesiltepe, Kiymet Akdemir, Pinar Yanardag
Diffusion-based text-to-image models have rapidly gained popularity for their ability to generate detailed and realistic images from textual descriptions. However, these models oft…
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation
Umut Kocasari, Alara Dirik, Mert Tiftikci +1
Discovering meaningful directions in the latent space of GANs to manipulate semantic attributes typically requires large amounts of labeled data. Recent work aims to overcome this…
Exploring Latent Dimensions of Crowd-sourced Creativity
Umut Kocasari, Alperen Bag, Efehan Atici +1
Recently, the discovery of interpretable directions in the latent spaces of pre-trained GANs has become a popular topic. While existing works mostly consider directions for semanti…
Controlled Cue Generation for Play Scripts
Alara Dirik, Hilal Donmez, Pinar Yanardag
In this paper, we use a large-scale play scripts dataset to propose the novel task of theatrical cue generation from dialogues. Using over one million lines of dialogue and cues, w…
The Structurally Smoothed Graphlet Kernel
Pinar Yanardag, S. V. N. Vishwanathan
A commonly used paradigm for representing graphs is to use a vector that contains normalized frequencies of occurrence of certain motifs or sub-graphs. This vector representation c…