Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Stan, Gabriela"'
Autor:
Cai, Zhipeng, Mueller, Matthias, Birkl, Reiner, Wofk, Diana, Tseng, Shao-Yen, Cheng, JunDa, Stan, Gabriela Ben-Melech, Lal, Vasudev, Paulitsch, Michael
In the current era of generative AI breakthroughs, generating panoramic scenes from a single input image remains a key challenge. Most existing methods use diffusion-based iterative or simultaneous multi-view inpainting. However, the lack of global s
Externí odkaz:
http://arxiv.org/abs/2406.01843
Autor:
Stan, Gabriela Ben Melech, Aflalo, Estelle, Rohekar, Raanan Yehezkel, Bhiwandiwalla, Anahita, Tseng, Shao-Yen, Olson, Matthew Lyle, Gurwicz, Yaniv, Wu, Chenfei, Duan, Nan, Lal, Vasudev
In the rapidly evolving landscape of artificial intelligence, multi-modal large language models are emerging as a significant area of interest. These models, which combine various forms of data input, are becoming increasingly popular. However, under
Externí odkaz:
http://arxiv.org/abs/2404.03118
Autor:
Chatterjee, Agneet, Stan, Gabriela Ben Melech, Aflalo, Estelle, Paul, Sayak, Ghosh, Dhruba, Gokhale, Tejas, Schmidt, Ludwig, Hajishirzi, Hannaneh, Lal, Vasudev, Baral, Chitta, Yang, Yezhou
One of the key shortcomings in current text-to-image (T2I) models is their inability to consistently generate images which faithfully follow the spatial relationships specified in the text prompt. In this paper, we offer a comprehensive investigation
Externí odkaz:
http://arxiv.org/abs/2404.01197
Autor:
Stan, Gabriela Ben Melech, Wofk, Diana, Aflalo, Estelle, Tseng, Shao-Yen, Cai, Zhipeng, Paulitsch, Michael, Lal, Vasudev
Latent diffusion models have proven to be state-of-the-art in the creation and manipulation of visual outputs. However, as far as we know, the generation of depth maps jointly with RGB is still limited. We introduce LDM3D-VR, a suite of diffusion mod
Externí odkaz:
http://arxiv.org/abs/2311.03226
Autor:
Stan, Gabriela Ben Melech, Wofk, Diana, Fox, Scottie, Redden, Alex, Saxton, Will, Yu, Jean, Aflalo, Estelle, Tseng, Shao-Yen, Nonato, Fabio, Muller, Matthias, Lal, Vasudev
This research paper proposes a Latent Diffusion Model for 3D (LDM3D) that generates both image and depth map data from a given text prompt, allowing users to generate RGBD images from text prompts. The LDM3D model is fine-tuned on a dataset of tuples
Externí odkaz:
http://arxiv.org/abs/2305.10853
Autor:
Madasu, Avinash, Aflalo, Estelle, Stan, Gabriela Ben Melech, Rosenman, Shachar, Tseng, Shao-Yen, Bertasius, Gedas, Lal, Vasudev
Multi-modal retrieval has seen tremendous progress with the development of vision-language models. However, further improving these models require additional labelled data which is a huge manual effort. In this paper, we propose a framework MuMUR, th
Externí odkaz:
http://arxiv.org/abs/2208.11553
Akademický článek
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Autor:
Ușurelu Beatrice-Maria, Timar Kincsö-Katalin, Stan Gabriela-Elena, Benedek-Bloju Adrian-Florin, Cioacă Stelian-Ionuț, Nicolescu Valeriu-Norocel
Publikováno v:
Bucovina Forestieră, Vol 19, Iss 1, Pp 007-018 (2019)
A pure, 2 x 1 m (5,000 plants ha-1) plantation of northern red oak was established in the park of Mikes Castle (Zăbala, Covasna County) in the spring of 2012. The local ecological conditions (mean annual temperature 7.6 oC, mean annual rainfall 61
Externí odkaz:
https://doaj.org/article/08cc4901baf4472a95ac9aa4520500ae
Autor:
Calin, Alina Mihaela, Nechita, Aurel, Earar, Kamel, Stan, Gabriela, Bratu, Ana Magdalena, Dinu, Ciprian Adrian, Forna, Norina Consuela, Topor, Gabi, Stefanescu, Victorita, Ilie, Mariana, Bejan, Anca, Dumitriu-Buzia, Olimpia, Salcianu, Iulia Alecsandra, Forna, Doriana Agop, Bratu, Iulian Catalin
Publikováno v:
Romanian Journal of Oral Rehabilitation; Jan-Mar2024, Vol. 16 Issue 1, p520-528, 9p
Autor:
Budacu, Cristian Constantin, Nechita, Aurel, Forna, Doriana Agop, Forna, Norina Consuela, Stan, Gabriela, Earar, kamel, Petru, Trifautanu, Miulescu, Magdalena
Publikováno v:
Romanian Journal of Oral Rehabilitation; Jan-Mar2024, Vol. 16 Issue 1, p511-519, 9p