Zobrazeno 1 - 10
of 6 428
pro vyhledávání: '"GAO, LIN"'
Texture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D geometry spa
Externí odkaz:
http://arxiv.org/abs/2412.10004
Autor:
Xu, Rui, Chen, Wenyue, Wang, Jiepeng, Liu, Yuan, Wang, Peng, Gao, Lin, Xin, Shiqing, Komura, Taku, Li, Xin, Wang, Wenping
Gaussian Splattings demonstrate impressive results in multi-view reconstruction based on Gaussian explicit representations. However, the current Gaussian primitives only have a single view-dependent color and an opacity to represent the appearance an
Externí odkaz:
http://arxiv.org/abs/2411.18966
Autor:
Gao, Lin
A graphical user interface (GUI) software is provided for lattice QCD simulations, aimed at streamlining the process. The current version of the software employs the Metropolis algorithm with the Wilson gauge action. It is implemented in Python, util
Externí odkaz:
http://arxiv.org/abs/2411.08044
Synthesizing realistic videos of talking faces under custom lighting conditions and viewing angles benefits various downstream applications like video conferencing. However, most existing relighting methods are either time-consuming or unable to adju
Externí odkaz:
http://arxiv.org/abs/2410.18355
Autor:
Gao, Lin
A modified Transformer model is introduced for estimating the mass of pseudoscalar glueball in lattice QCD. The model takes as input a sequence of floating-point numbers with lengths ranging from 30 to 35 and produces a two-dimensional vector output.
Externí odkaz:
http://arxiv.org/abs/2408.13280
Autor:
Gao, Lin, Lu, Jing, Shao, Zekai, Lin, Ziyue, Yue, Shengbin, Ieong, Chiokit, Sun, Yi, Zauner, Rory James, Wei, Zhongyu, Chen, Siming
Large Language Models (LLMs) have shown great potential in intelligent visualization systems, especially for domain-specific applications. Integrating LLMs into visualization systems presents challenges, and we categorize these challenges into three
Externí odkaz:
http://arxiv.org/abs/2407.20570
The interaction between axion-like particles (ALPs) and photons induces ALP-photon oscillations in astrophysical magnetic fields, leading to spectral distortions in the $\gamma$-ray spectrum of blazars. The primary uncertainty of this phenomenon may
Externí odkaz:
http://arxiv.org/abs/2407.20118
Due to the fascinating generative performance of text-to-image diffusion models, growing text-to-3D generation works explore distilling the 2D generative priors into 3D, using the score distillation sampling (SDS) loss, to bypass the data scarcity pr
Externí odkaz:
http://arxiv.org/abs/2407.12684
Autor:
Gao, Lin
A deep neural network (DNN) is utilized to study the mass of the pseudoscalar glueball in lattice QCD based on Monte Carlo simulations. To obtain an accurate and stable mass value, I constructed a new network. The results show that this DNN provides
Externí odkaz:
http://arxiv.org/abs/2407.12010
Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed to intuitive 3D modeling but are confined to producing texture-less m
Externí odkaz:
http://arxiv.org/abs/2405.06461