Zobrazeno 1 - 10
of 995
pro vyhledávání: '"Xu XuDong"'
Autor:
Wang, Qi, Lu, Ruijie, Xu, Xudong, Wang, Jingbo, Wang, Michael Yu, Dai, Bo, Zeng, Gang, Xu, Dan
The advancement of diffusion models has pushed the boundary of text-to-3D object generation. While it is straightforward to composite objects into a scene with reasonable geometry, it is nontrivial to texture such a scene perfectly due to style incon
Externí odkaz:
http://arxiv.org/abs/2406.02461
Publikováno v:
Jisuanji kexue yu tansuo, Vol 14, Iss 6, Pp 958-965 (2020)
Message clustering is one of the main steps of protocol reverse engineering. For the private binary protocol packets, the current message clustering method has the problem of message vectorization feature redundancy, and the traditional clustering me
Externí odkaz:
https://doaj.org/article/7bbb7bf84964408aa78a383925a5dfe1
This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate the whole model in a single-stage optimization, which makes them strugg
Externí odkaz:
http://arxiv.org/abs/2404.16748
Mesh is a fundamental representation of 3D assets in various industrial applications, and is widely supported by professional softwares. However, due to its irregular structure, mesh creation and manipulation is often time-consuming and labor-intensi
Externí odkaz:
http://arxiv.org/abs/2403.11990
Diffusion models have achieved remarkable image generation quality surpassing previous generative models. However, a notable limitation of diffusion models, in comparison to GANs, is their difficulty in smoothly interpolating between two image sample
Externí odkaz:
http://arxiv.org/abs/2312.07409
Autor:
Xu, Xudong, Markovic, Dejan, Sandakly, Jacob, Keebler, Todd, Krenn, Steven, Richard, Alexander
While 3D human body modeling has received much attention in computer vision, modeling the acoustic equivalent, i.e. modeling 3D spatial audio produced by body motion and speech, has fallen short in the community. To close this gap, we present a model
Externí odkaz:
http://arxiv.org/abs/2311.06285
Based on powerful text-to-image diffusion models, text-to-3D generation has made significant progress in generating compelling geometry and appearance. However, existing methods still struggle to recover high-fidelity object materials, either only co
Externí odkaz:
http://arxiv.org/abs/2308.09278
Autor:
Chen, Zhuo, Xu, Xudong, Yan, Yichao, Pan, Ye, Zhu, Wenhan, Wu, Wayne, Dai, Bo, Yang, Xiaokang
Portrait stylization is a long-standing task enabling extensive applications. Although 2D-based methods have made great progress in recent years, real-world applications such as metaverse and games often demand 3D content. On the other hand, the requ
Externí odkaz:
http://arxiv.org/abs/2304.09463
Neural surface reconstruction aims to reconstruct accurate 3D surfaces based on multi-view images. Previous methods based on neural volume rendering mostly train a fully implicit model with MLPs, which typically require hours of training for a single
Externí odkaz:
http://arxiv.org/abs/2208.12697
Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressive performance on various generation tasks. By modeling the reverse process of gradually diffusing the data distribution into a Gaussian distribution, generating a sample in DDPMs
Externí odkaz:
http://arxiv.org/abs/2205.12524