Zobrazeno 1 - 10
of 24 990
pro vyhledávání: '"A, Poggi"'
Detecting AI-generated images has become an extraordinarily difficult challenge as new generative architectures emerge on a daily basis with more and more capabilities and unprecedented realism. New versions of many commercial tools, such as DALLE, M
Externí odkaz:
http://arxiv.org/abs/2409.15875
High frame rate and accurate depth estimation plays an important role in several tasks crucial to robotics and automotive perception. To date, this can be achieved through ToF and LiDAR devices for indoor and outdoor applications, respectively. Howev
Externí odkaz:
http://arxiv.org/abs/2409.08277
3D Gaussian Splatting (GS) significantly struggles to accurately represent the underlying 3D scene geometry, resulting in inaccuracies and floating artifacts when rendering depth maps. In this paper, we address this limitation, undertaking a comprehe
Externí odkaz:
http://arxiv.org/abs/2409.07456
SPIDER (Source for the Production of Ions of Deuterium Extracted from Rf plasma) is a full-scale prototype of the ITER NBI source. It is based on the concept of inductive coupling between radio-frequency current drive and plasma. Present three-dimens
Externí odkaz:
http://arxiv.org/abs/2409.05821
Autor:
Buono, Elia, Katul, Gabriel, Heisel, Michael, Poggi, Davide, Peruzzi, Cosimo, Vettori, Davide, Manes, Costantino
One of the main statistical features of near-neutral atmospheric boundary layer (ABL) turbulence is the positive vertical velocity skewness $Sk_w$ above the roughness sublayer or the buffer region in smooth-walls. The $Sk_w$ variations are receiving
Externí odkaz:
http://arxiv.org/abs/2408.11887
Event stereo matching is an emerging technique to estimate depth from neuromorphic cameras; however, events are unlikely to trigger in the absence of motion or the presence of large, untextured regions, making the correspondence problem extremely cha
Externí odkaz:
http://arxiv.org/abs/2408.04633
Autor:
Truong, Huy, Poggi-Corradini, Pietro
Homogeneous matroids are characterized by the property that strength equals fractional arboricity, and arise in the study of base modulus [22]. For graphic matroids, Cunningham [9] provided efficient algorithms for calculating graph strength, and als
Externí odkaz:
http://arxiv.org/abs/2408.00173
Autor:
Babson, Eric, Duchin, Moon, Iseli, Annina, Poggi-Corradini, Pietro, Thurston, Dylan, Tucker-Foltz, Jamie
There are numerous randomized algorithms to generate spanning trees in a given ambient graph; several target the uniform distribution on trees (UST), while in practice the fastest and most frequently used draw random weights on the edges and then emp
Externí odkaz:
http://arxiv.org/abs/2407.20226
In recent years, many forensic detectors have been proposed to detect AI-generated images and prevent their use for malicious purposes. Convolutional neural networks (CNNs) have long been the dominant architecture in this field and have been the subj
Externí odkaz:
http://arxiv.org/abs/2407.19553
We present a novel approach designed to address the complexities posed by challenging, out-of-distribution data in the single-image depth estimation task. Starting with images that facilitate depth prediction due to the absence of unfavorable factors
Externí odkaz:
http://arxiv.org/abs/2407.16698