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pro vyhledávání: '"Gong, Yuanhao"'
Autor:
Gong, Yuanhao
The 3D Gaussian splatting methods are getting popular. However, they work directly on the signal, leading to a dense representation of the signal. Even with some techniques such as pruning or distillation, the results are still dense. In this paper,
Externí odkaz:
http://arxiv.org/abs/2405.05446
Autor:
Gong, Yuanhao
The Gaussian splatting methods are getting popular. However, their loss function only contains the $\ell_1$ norm and the structural similarity between the rendered and input images, without considering the edges in these images. It is well-known that
Externí odkaz:
http://arxiv.org/abs/2404.09105
The 3D Gaussian splatting method has drawn a lot of attention, thanks to its high performance in training and high quality of the rendered image. However, it uses anisotropic Gaussian kernels to represent the scene. Although such anisotropic kernels
Externí odkaz:
http://arxiv.org/abs/2403.14244
Publikováno v:
LAdv. Mater. n/a, 2312825 (2024)
In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are becoming predominant: the exponential growth of large AI model sizes and the explosion of massive amount of data. Meanwhile, scientific research such as quantum compu
Externí odkaz:
http://arxiv.org/abs/2311.09767
Given a new $6DoF$ camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing explicit or implicit 3D geometry construction methods are computationally
Externí odkaz:
http://arxiv.org/abs/2309.15526
Autor:
Gong, Yuanhao
Inspired by Federated Learning, in this paper, we propose personal large models that are distilled from traditional large language models but more adaptive to local users' personal information such as education background and hobbies. We classify the
Externí odkaz:
http://arxiv.org/abs/2309.14726
Autor:
Gong, Yuanhao
Diffusion models are getting popular in generative image and video synthesis. However, due to the diffusion process, they require a large number of steps to converge. To tackle this issue, in this paper, we propose to perform the diffusion process in
Externí odkaz:
http://arxiv.org/abs/2309.01875
Autor:
Gong, Yuanhao
Activation functions are essential components of neural networks. In this paper, we introduce a new activation function called the Truncated and Signed Square Root (TSSR) function. This function is distinctive because it is odd, nonlinear, monotone a
Externí odkaz:
http://arxiv.org/abs/2308.04832
Autor:
Gong, Yuanhao
Activation functions play an essential role in neural networks. They provide the non-linearity for the networks. Therefore, their properties are important for neural networks' accuracy and running performance. In this paper, we present a novel signed
Externí odkaz:
http://arxiv.org/abs/2307.16389
Autor:
Gong, Yuanhao
Large language models have made significant progress in the past few years. However, they are either generic {\it or} field specific, splitting the community into different groups. In this paper, we unify these large language models into a larger map
Externí odkaz:
http://arxiv.org/abs/2307.13221