Zobrazeno 1 - 10
of 35 345
pro vyhledávání: '"ZHOU Yu"'
The precise reconstruction of 3D objects from a single RGB image in complex scenes presents a critical challenge in virtual reality, autonomous driving, and robotics. Existing neural implicit 3D representation methods face significant difficulties in
Externí odkaz:
http://arxiv.org/abs/2411.12635
The development of large language models (LLMs) has revolutionized automated code generation. However, their high demand of computation resources has hindered a broader deployment and raised environmental concerns. A common strategy for diminishing c
Externí odkaz:
http://arxiv.org/abs/2411.06680
We present our approach to using AI-generated content (AIGC) and multiple media to develop an immersive, game-based, interactive story experience. The narrative of the story, "Memory Remedy", unfolds through flashbacks, allowing the audience to gradu
Externí odkaz:
http://arxiv.org/abs/2411.04499
Autor:
Yang, Guang, Zhou, Yu, Cheng, Wei, Zhang, Xiangyu, Chen, Xiang, Zhuo, Terry Yue, Liu, Ke, Zhou, Xin, Lo, David, Chen, Taolue
The widespread use of Large Language Models (LLMs) in software engineering has intensified the need for improved model and resource efficiency. In particular, for neural code generation, LLMs are used to translate function/method signature and DocStr
Externí odkaz:
http://arxiv.org/abs/2410.22793
Autor:
Zhou, Yu, Zhang, Hai-Qing
We compute the effective action for a massive scalar field in (A)dS spacetime using the Euclidean heat kernel method. We highlight that in even-dimensional dS spacetimes, the effective action exhibits a non-trivial imaginary part, reminiscent of the
Externí odkaz:
http://arxiv.org/abs/2410.20949
Current segmentation methods require many training images and precise masks, while insufficient anomaly images hinder their application in industrial scenarios. To address such an issue, we explore producing diverse anomalies and accurate pixel-wise
Externí odkaz:
http://arxiv.org/abs/2410.14987
In this study, we explore how the extragalactic background light (EBL) absorption effect influences the photon to axionlike particle (ALP) conversions from the very-high-energy gamma-ray spectral irregularities. For our analysis, we select two well-k
Externí odkaz:
http://arxiv.org/abs/2410.14791
In the industrial scenario, anomaly detection could locate but cannot classify anomalies. To complete their capability, we study to automatically discover and recognize visual classes of industrial anomalies. In terms of multi-class anomaly classific
Externí odkaz:
http://arxiv.org/abs/2410.14379
Diffusion models, known for their impressive image generation abilities, have played a pivotal role in the rise of visual text generation. Nevertheless, existing visual text generation methods often focus on generating entire images with text prompts
Externí odkaz:
http://arxiv.org/abs/2410.10168
Centred on content modification and style preservation, Scene Text Editing (STE) remains a challenging task despite considerable progress in text-to-image synthesis and text-driven image manipulation recently. GAN-based STE methods generally encounte
Externí odkaz:
http://arxiv.org/abs/2410.10133