Zobrazeno 1 - 10
of 44 634
pro vyhledávání: '"Wang,Qing"'
We present Style3D, a novel approach for generating stylized 3D objects from a content image and a style image. Unlike most previous methods that require case- or style-specific training, Style3D supports instant 3D object stylization. Our key insigh
Externí odkaz:
http://arxiv.org/abs/2412.03571
Utilizing the mmWave band can potentially achieve the high data rate needed for realistic and seamless interaction within a virtual reality (VR) application. To this end, beamforming in both the access point (AP) and head-mounted display (HMD) sides
Externí odkaz:
http://arxiv.org/abs/2412.03364
We present Material Anything, a fully-automated, unified diffusion framework designed to generate physically-based materials for 3D objects. Unlike existing methods that rely on complex pipelines or case-specific optimizations, Material Anything offe
Externí odkaz:
http://arxiv.org/abs/2411.15138
Autor:
Liu, Xin-Yang, Parikh, Meet Hemant, Fan, Xiantao, Du, Pan, Wang, Qing, Chen, Yi-Fan, Wang, Jian-Xun
Eddy-resolving turbulence simulations require stochastic inflow conditions that accurately replicate the complex, multi-scale structures of turbulence. Traditional recycling-based methods rely on computationally expensive precursor simulations, while
Externí odkaz:
http://arxiv.org/abs/2411.14378
Sound event localization and detection with source distance estimation (3D SELD) involves not only identifying the sound category and its direction-of-arrival (DOA) but also predicting the source's distance, aiming to provide full information about t
Externí odkaz:
http://arxiv.org/abs/2411.14153
The damage and the critical current density (Jc) degradation of polycrystalline superconductors induced by strain dramatically influence their performance in applications. Unfortunately, the state-of-the-art experimental techniques are unable to dete
Externí odkaz:
http://arxiv.org/abs/2411.11561
Knowledge graph completion (KGC) is a task of inferring missing triples based on existing Knowledge Graphs (KGs). Both structural and semantic information are vital for successful KGC. However, existing methods only use either the structural knowledg
Externí odkaz:
http://arxiv.org/abs/2411.06660
We extend the concept of the m-weak group MP inverse of a square matrix to a rectangular matrix, called the W-weighted m-weak group MP inverse, which also unifies the W-weighted weak core inverse and W-weighted DMP inverse. Some properties, character
Externí odkaz:
http://arxiv.org/abs/2411.01481
Advances in large language models (LLMs) have spurred research into enhancing their reasoning capabilities, particularly in math-rich STEM documents. While LLMs can generate equations or solve math-related queries, their ability to fully understand a
Externí odkaz:
http://arxiv.org/abs/2411.00387
Neural code models have found widespread success in tasks pertaining to code intelligence, yet they are vulnerable to backdoor attacks, where an adversary can manipulate the victim model's behavior by inserting triggers into the source code. Recent s
Externí odkaz:
http://arxiv.org/abs/2410.20136