Zobrazeno 1 - 10
of 8 665
pro vyhledávání: '"YIN Wei"'
Autor:
Wang, Linhan, Cheng, Kai, Lei, Shuo, Wang, Shengkun, Yin, Wei, Lei, Chenyang, Long, Xiaoxiao, Lu, Chang-Tien
We present DC-Gaussian, a new method for generating novel views from in-vehicle dash cam videos. While neural rendering techniques have made significant strides in driving scenarios, existing methods are primarily designed for videos collected by aut
Externí odkaz:
http://arxiv.org/abs/2405.17705
In the present paper, an integrable semi-discretization of the modified Camassa-Holm (mCH) equation with cubic nonlinearity is presented. The key points of the construction are based on the discrete Kadomtsev-Petviashvili (KP) equation and appropriat
Externí odkaz:
http://arxiv.org/abs/2404.18372
Autor:
Hu, Mu, Yin, Wei, Zhang, Chi, Cai, Zhipeng, Long, Xiaoxiao, Chen, Hao, Wang, Kaixuan, Yu, Gang, Shen, Chunhua, Shen, Shaojie
We introduce Metric3D v2, a geometric foundation model for zero-shot metric depth and surface normal estimation from a single image, which is crucial for metric 3D recovery. While depth and normal are geometrically related and highly complimentary, t
Externí odkaz:
http://arxiv.org/abs/2404.15506
Autor:
Cong, Peishan, Wang, Ziyi, Dou, Zhiyang, Ren, Yiming, Yin, Wei, Cheng, Kai, Sun, Yujing, Long, Xiaoxiao, Zhu, Xinge, Ma, Yuexin
Language-guided scene-aware human motion generation has great significance for entertainment and robotics. In response to the limitations of existing datasets, we introduce LaserHuman, a pioneering dataset engineered to revolutionize Scene-Text-to-Mo
Externí odkaz:
http://arxiv.org/abs/2403.13307
Autor:
Fu, Xiao, Yin, Wei, Hu, Mu, Wang, Kaixuan, Ma, Yuexin, Tan, Ping, Shen, Shaojie, Lin, Dahua, Long, Xiaoxiao
We introduce GeoWizard, a new generative foundation model designed for estimating geometric attributes, e.g., depth and normals, from single images. While significant research has already been conducted in this area, the progress has been substantial
Externí odkaz:
http://arxiv.org/abs/2403.12013
Multi-view depth estimation has achieved impressive performance over various benchmarks. However, almost all current multi-view systems rely on given ideal camera poses, which are unavailable in many real-world scenarios, such as autonomous driving.
Externí odkaz:
http://arxiv.org/abs/2403.07535
Autor:
Cheng, Kai, Long, Xiaoxiao, Yang, Kaizhi, Yao, Yao, Yin, Wei, Ma, Yuexin, Wang, Wenping, Chen, Xuejin
The advent of 3D Gaussian Splatting (3DGS) has recently brought about a revolution in the field of neural rendering, facilitating high-quality renderings at real-time speed. However, 3DGS heavily depends on the initialized point cloud produced by Str
Externí odkaz:
http://arxiv.org/abs/2402.14650
Depth estimation is a critical technology in autonomous driving, and multi-camera systems are often used to achieve a 360$^\circ$ perception. These 360$^\circ$ camera sets often have limited or low-quality overlap regions, making multi-view stereo me
Externí odkaz:
http://arxiv.org/abs/2402.11791
Autor:
Shen, Xuelun, Cai, Zhipeng, Yin, Wei, Müller, Matthias, Li, Zijun, Wang, Kaixuan, Chen, Xiaozhi, Wang, Cheng
Image matching is a fundamental computer vision problem. While learning-based methods achieve state-of-the-art performance on existing benchmarks, they generalize poorly to in-the-wild images. Such methods typically need to train separate models for
Externí odkaz:
http://arxiv.org/abs/2402.11095
Autor:
Schlegel, Viktor, Kashyap, Abhinav Ramesh, Nguyen, Thanh-Tung, Yang, Tsung-Han, Dwivedi, Vijay Prakash, Yin, Wei-Hsian, Wei, Jeng, Winkler, Stefan
Computerised clinical coding approaches aim to automate the process of assigning a set of codes to medical records. While there is active research pushing the state of the art on clinical coding for hospitalized patients, the outpatient setting -- wh
Externí odkaz:
http://arxiv.org/abs/2312.13533