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Akademický článek
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Neural Surface Reconstruction learns a Signed Distance Field~(SDF) to reconstruct the 3D model from multi-view images. Previous works adopt voxel-based explicit representation to improve efficiency. However, they ignored the gradient instability of i
Externí odkaz:
http://arxiv.org/abs/2406.07170
Autor:
Tu, Hanzhang, Shao, Ruizhi, Dong, Xue, Zheng, Shunyuan, Zhang, Hao, Chen, Lili, Wang, Meili, Li, Wenyu, Ma, Siyan, Zhang, Shengping, Zhou, Boyao, Liu, Yebin
In this paper, we present a low-budget and high-authenticity bidirectional telepresence system, Tele-Aloha, targeting peer-to-peer communication scenarios. Compared to previous systems, Tele-Aloha utilizes only four sparse RGB cameras, one consumer-g
Externí odkaz:
http://arxiv.org/abs/2405.14866
Neural Radiance Field~(NeRF) achieves extremely high quality in object-scaled and indoor scene reconstruction. However, there exist some challenges when reconstructing large-scale scenes. MLP-based NeRFs suffer from limited network capacity, while vo
Externí odkaz:
http://arxiv.org/abs/2405.04416
The most recent pointwise Large Language Model (LLM) rankers have achieved remarkable ranking results. However, these rankers are hindered by two major drawbacks: (1) they fail to follow a standardized comparison guidance during the ranking process,
Externí odkaz:
http://arxiv.org/abs/2404.11960
3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with differentiable rasterization to achieve high-quality novel view synthesis results while providing advanced real-time rendering performance. However, due to the flaw of its ad
Externí odkaz:
http://arxiv.org/abs/2404.10484
With the development of the large-scale diffusion model, Artificial Intelligence Generated Content (AIGC) techniques are popular recently. However, how to truly make it serve our daily lives remains an open question. To this end, in this paper, we fo
Externí odkaz:
http://arxiv.org/abs/2404.04833
This paper considers both the least squares and quasi-maximum likelihood estimation for the recently proposed scalable ARMA model, a parametric infinite-order vector AR model, and their asymptotic normality is also established. It makes feasible the
Externí odkaz:
http://arxiv.org/abs/2402.12825