2 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
Cemre Karakas, Alara Dirik, Eylul Yalcinkaya +1
Recent advances in generative adversarial networks have shown that it is possible to generate high-resolution and hyperrealistic images. However, the images produced by GANs are on…
Text and Image Guided 3D Avatar Generation and Manipulation
Zehranaz Canfes, M. Furkan Atasoy, Alara Dirik +1
The manipulation of latent space has recently become an interesting topic in the field of generative models. Recent research shows that latent directions can be used to manipulate…