Zobrazeno 1 - 10
of 1 596
pro vyhledávání: '"Escolano P"'
Autor:
Bühler, Marcel C., Li, Gengyan, Wood, Erroll, Helminger, Leonhard, Chen, Xu, Shah, Tanmay, Wang, Daoye, Garbin, Stephan, Orts-Escolano, Sergio, Hilliges, Otmar, Lagun, Dmitry, Riviere, Jérémy, Gotardo, Paulo, Beeler, Thabo, Meka, Abhimitra, Sarkar, Kripasindhu
Volumetric modeling and neural radiance field representations have revolutionized 3D face capture and photorealistic novel view synthesis. However, these methods often require hundreds of multi-view input images and are thus inapplicable to cases wit
Externí odkaz:
http://arxiv.org/abs/2410.00630
Bike Sharing Systems (BSSs) play a crucial role in promoting sustainable urban mobility by facilitating short-range trips and connecting with other transport modes. Traditionally, most BSS fleets have consisted of mechanical bikes (m-bikes), but elec
Externí odkaz:
http://arxiv.org/abs/2409.13362
Let $\mathfrak{M}$ and $\mathfrak{J}$ be JBW$^*$-algebras admitting no central summands of type $I_1$ and $I_2,$ and let $\Phi: \mathfrak{M} \rightarrow \mathfrak{J}$ be a linear bijection preserving operator commutativity in both directions, that is
Externí odkaz:
http://arxiv.org/abs/2409.06799
This paper studies gender bias in machine translation through the lens of Large Language Models (LLMs). Four widely-used test sets are employed to benchmark various base LLMs, comparing their translation quality and gender bias against state-of-the-a
Externí odkaz:
http://arxiv.org/abs/2407.18786
Autor:
Gilabert, Javier García, Escolano, Carlos, Savall, Aleix Sant, Fornaciari, Francesca De Luca, Mash, Audrey, Liao, Xixian, Melero, Maite
In recent years, Large Language Models (LLMs) have demonstrated exceptional proficiency across a broad spectrum of Natural Language Processing (NLP) tasks, including Machine Translation. However, previous methods predominantly relied on iterative pro
Externí odkaz:
http://arxiv.org/abs/2406.09140
Publikováno v:
EPJ Data Sci. 13, 48 (2024)
Bike-sharing systems have emerged as a significant element of urban mobility, providing an environmentally friendly transportation alternative. With the increasing integration of electric bikes alongside mechanical bikes, it is crucial to illuminate
Externí odkaz:
http://arxiv.org/abs/2404.17217
Autor:
Qiu, Di, Zhang, Yinda, Beeler, Thabo, Tankovich, Vladimir, Häne, Christian, Fanello, Sean, Rhemann, Christoph, Escolano, Sergio Orts
We propose CHOSEN, a simple yet flexible, robust and effective multi-view depth refinement framework. It can be employed in any existing multi-view stereo pipeline, with straightforward generalization capability for different multi-view capture syste
Externí odkaz:
http://arxiv.org/abs/2404.02225
Autor:
Comas-Massagué, Armand, Qiu, Di, Chai, Menglei, Bühler, Marcel, Raj, Amit, Gao, Ruiqi, Xu, Qiangeng, Matthews, Mark, Gotardo, Paulo, Camps, Octavia, Orts-Escolano, Sergio, Beeler, Thabo
We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are key innovations aimed at overcoming the challenges in photo-realistic
Externí odkaz:
http://arxiv.org/abs/2404.01296
Despite substantial progress in multilingual extractive Question Answering (QA), models with high and uniformly distributed performance across languages remain challenging, especially for languages with limited resources. We study cross-lingual trans
Externí odkaz:
http://arxiv.org/abs/2309.17134
Autor:
Bühler, Marcel C., Sarkar, Kripasindhu, Shah, Tanmay, Li, Gengyan, Wang, Daoye, Helminger, Leonhard, Orts-Escolano, Sergio, Lagun, Dmitry, Hilliges, Otmar, Beeler, Thabo, Meka, Abhimitra
NeRFs have enabled highly realistic synthesis of human faces including complex appearance and reflectance effects of hair and skin. These methods typically require a large number of multi-view input images, making the process hardware intensive and c
Externí odkaz:
http://arxiv.org/abs/2309.16859