Zobrazeno 1 - 10
of 427
pro vyhledávání: '"Dırık A"'
Autor:
Dirik, Alara, Yanardag, Pinar
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, single-view reconstruction remains a challenging topic that can unlo
Externí odkaz:
http://arxiv.org/abs/2212.02184
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 is difficult to extend this progress into the 3D domain since most curr
Externí odkaz:
http://arxiv.org/abs/2210.03007
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 only as fair and representative as the datasets on which they are traine
Externí odkaz:
http://arxiv.org/abs/2202.06240
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 images towards certain attributes. However, controlling the generation
Externí odkaz:
http://arxiv.org/abs/2202.06079
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 limitation by leveraging the power of Contrastive Language-Image Pre-t
Externí odkaz:
http://arxiv.org/abs/2112.08493
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, we approach the problem of cue generation as a controlled text generati
Externí odkaz:
http://arxiv.org/abs/2112.06953
Publikováno v:
In Ocean Engineering 1 August 2024 305
Autor:
Dirik, Hasan Batuhan, Ertan, Hayri
Publikováno v:
In Behavioural Brain Research 5 March 2024 460
Publikováno v:
In Measurement 15 February 2024 225
Autor:
Doyle, Michelle R., Dirik, Selen, Martinez, Angelica R., Hughes, Talyn E., Iyer, Mohini R., Sneddon, Elizabeth A., Seo, Hyeonglim, Cohen, Seth M., de Guglielmo, Giordano
Publikováno v:
In Neuropharmacology 1 January 2024 242