Zobrazeno 1 - 10
of 431
pro vyhledávání: '"Xiao, Chunxia"'
We propose GGS, a Generalizable Gaussian Splatting method for Autonomous Driving which can achieve realistic rendering under large viewpoint changes. Previous generalizable 3D gaussian splatting methods are limited to rendering novel views that are v
Externí odkaz:
http://arxiv.org/abs/2409.02382
Reconstructing a dynamic human with loose clothing is an important but difficult task. To address this challenge, we propose a method named DLCA-Recon to create human avatars from monocular videos. The distance from loose clothing to the underlying b
Externí odkaz:
http://arxiv.org/abs/2312.12096
This paper aims to remove specular highlights from a single object-level image. Although previous methods have made some progresses, their performance remains somewhat limited, particularly for real images with complex specular highlights. To this en
Externí odkaz:
http://arxiv.org/abs/2309.06302
We present a novel method, called NeTO, for capturing 3D geometry of solid transparent objects from 2D images via volume rendering. Reconstructing transparent objects is a very challenging task, which is ill-suited for general-purpose reconstruction
Externí odkaz:
http://arxiv.org/abs/2303.11219
We present a novel neural surface reconstruction method called NeuralRoom for reconstructing room-sized indoor scenes directly from a set of 2D images. Recently, implicit neural representations have become a promising way to reconstruct surfaces from
Externí odkaz:
http://arxiv.org/abs/2210.06853
Autor:
Lu, Xiao, Cao, Yihong, Liu, Sheng, Long, Chengjiang, Chen, Zipei, Zhou, Xuanyu, Yang, Yimin, Xiao, Chunxia
It is challenging to annotate large-scale datasets for supervised video shadow detection methods. Using a model trained on labeled images to the video frames directly may lead to high generalization error and temporal inconsistent results. In this pa
Externí odkaz:
http://arxiv.org/abs/2206.08801
Monocular 6D pose estimation is a fundamental task in computer vision. Existing works often adopt a two-stage pipeline by establishing correspondences and utilizing a RANSAC algorithm to calculate 6 degrees-of-freedom (6DoF) pose. Recent works try to
Externí odkaz:
http://arxiv.org/abs/2204.09983
Autor:
Yang, Lingzhen, Cheng, Yuejing, Wang, Qinglang, Hou, Jianing, Rong, Qingyu, Xiao, Chunxia, Zhang, Yuhao, Yan, Jiamin, Xia, Qingyou, Hou, Yong
Publikováno v:
In Insect Biochemistry and Molecular Biology October 2024 173
It is very challenging to reconstruct a high dynamic range (HDR) from a low dynamic range (LDR) image as an ill-posed problem. This paper proposes a luminance attentive network named LANet for HDR reconstruction from a single LDR image. Our method is
Externí odkaz:
http://arxiv.org/abs/2109.06688
In this paper, we propose a novel two-stage context-aware network named CANet for shadow removal, in which the contextual information from non-shadow regions is transferred to shadow regions at the embedded feature spaces. At Stage-I, we propose a co
Externí odkaz:
http://arxiv.org/abs/2108.09894