2 citations · 3 across the 4 of their papers we have counts for
4 papers
3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes
Alara Dirik, Pinar Yanardag
Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to represent and generate 3D shapes, as well as a vast number of use cases. However…
XDGAN: Multi-Modal 3D Shape Generation in 2D Space
Hassan Abu Alhaija, Alara Dirik, André Knörig +2
Generative models for 2D images has recently seen tremendous progress in quality, resolution and speed as a result of the efficiency of 2D convolutional architectures. However it i…
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…
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…