Zobrazeno 1 - 10
of 3 027
pro vyhledávání: '"P. Maneesh"'
Regulatory documents are rich in nuanced terminology and specialized semantics. FRAG systems: Frozen retrieval-augmented generators utilizing pre-trained (or, frozen) components face consequent challenges with both retriever and answering performance
Externí odkaz:
http://arxiv.org/abs/2412.10313
Autor:
Galashov, Alexandre, Titsias, Michalis K., György, András, Lyle, Clare, Pascanu, Razvan, Teh, Yee Whye, Sahani, Maneesh
Publikováno v:
NeurIPS 2024
Neural networks are traditionally trained under the assumption that data come from a stationary distribution. However, settings which violate this assumption are becoming more popular; examples include supervised learning under distributional shifts,
Externí odkaz:
http://arxiv.org/abs/2411.04034
Scriptwriters usually rely on their mental visualization to create a vivid story by using their imagination to see, feel, and experience the scenes they are writing. Besides mental visualization, they often refer to existing images or scenes in movie
Externí odkaz:
http://arxiv.org/abs/2410.03224
Autor:
Liu, Hsueh-Ti Derek, Agrawala, Maneesh, Yuksel, Cem, Omernick, Tim, Misra, Vinith, Corazza, Stefano, McGuire, Morgan, Zordan, Victor
This paper presents a unified differentiable boolean operator for implicit solid shape modeling using Constructive Solid Geometry (CSG). Traditional CSG relies on min, max operators to perform boolean operations on implicit shapes. But because these
Externí odkaz:
http://arxiv.org/abs/2407.10954
Electric field-induced modulation of the optical properties is crucial for amplitude and phase modulators used in photonic devices. Here, we present a comprehensive study of the band geometry-induced electro-optic effect, specifically focusing on the
Externí odkaz:
http://arxiv.org/abs/2405.17963
Autor:
Nonnenmacher, Marcel, Sahani, Maneesh
The von Mises-Fisher distribution as an exponential family can be expressed in terms of either its natural or its mean parameters. Unfortunately, however, the normalization function for the distribution in terms of its mean parameters is not availabl
Externí odkaz:
http://arxiv.org/abs/2404.07358
We introduce a novel sketch-to-image tool that aligns with the iterative refinement process of artists. Our tool lets users sketch blocking strokes to coarsely represent the placement and form of objects and detail strokes to refine their shape and s
Externí odkaz:
http://arxiv.org/abs/2402.18116
Autor:
Zhang, Lvmin, Agrawala, Maneesh
We present LayerDiffuse, an approach enabling large-scale pretrained latent diffusion models to generate transparent images. The method allows generation of single transparent images or of multiple transparent layers. The method learns a "latent tran
Externí odkaz:
http://arxiv.org/abs/2402.17113
Autor:
Deng, Kangle, Omernick, Timothy, Weiss, Alexander, Ramanan, Deva, Zhu, Jun-Yan, Zhou, Tinghui, Agrawala, Maneesh
Manually creating textures for 3D meshes is time-consuming, even for expert visual content creators. We propose a fast approach for automatically texturing an input 3D mesh based on a user-provided text prompt. Importantly, our approach disentangles
Externí odkaz:
http://arxiv.org/abs/2402.13251
Addressing the critical shortage of mental health resources for effective screening, diagnosis, and treatment remains a significant challenge. This scarcity underscores the need for innovative solutions, particularly in enhancing the accessibility an
Externí odkaz:
http://arxiv.org/abs/2402.08837