no code implementations • 30 May 2024 • Haodong Xiang, Xinghui Li, Xiansong Lai, Wanting Zhang, Zhichao Liao, Kai Cheng, Xueping Liu
However, when it comes to indoor scenes with a significant number of textureless areas, 3DGS yields incomplete and noisy reconstruction results due to the poor initialization of the point cloud and under-constrained optimization.
no code implementations • 16 May 2024 • Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H Torr, Marc Pollefeys, Matthias Nießner, Ian D Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
Hence, with this paper, we aim to chart a course for future research that explores and expands the capabilities of 3D-LLMs in understanding and interacting with the complex 3D world.
no code implementations • 26 Mar 2024 • Chenjian Gao, Boyan Jiang, Xinghui Li, Yingpeng Zhang, Qian Yu
We present GenesisTex, a novel method for synthesizing textures for 3D geometries from text descriptions.
no code implementations • 25 Mar 2024 • Chen Li, Ruijie Ma, Xiang Qian, Xiaohao Wang, Xinghui Li
Addressing the challenge of data scarcity in industrial domains, transfer learning emerges as a pivotal paradigm.
no code implementations • 13 Mar 2024 • Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian Reid, Philip Torr, Victor Adrian Prisacariu
We propose GaussCtrl, a text-driven method to edit a 3D scene reconstructed by the 3D Gaussian Splatting (3DGS).
1 code implementation • 10 Jan 2024 • Erik Isai Valle Salgado, Chen Li, Yaqi Han, Linchao Shi, Xinghui Li
Ensemble methods exploit the availability of a given number of classifiers or detectors trained in single or multiple source domains and tasks to address machine learning problems such as domain adaptation or multi-source transfer learning.
no code implementations • 26 Oct 2023 • Xinghui Li, Jingyi Lu, Kai Han, Victor Prisacariu
In this paper, we address the challenge of matching semantically similar keypoints across image pairs.
no code implementations • 3 May 2023 • Xinghui Li, Kai Han, Xingchen Wan, Victor Adrian Prisacariu
This module is trained together with the backbone and the temperature is updated online.
no code implementations • 2 Apr 2023 • Min Han, Jiangming Kan, Gongping Yang, Xinghui Li
Subsequently, a novel sample-consensus-based ellipsoid fitting method is proposed by using the combination between the axial distance and Sampson distance (CAS).
1 code implementation • 17 Mar 2023 • Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, ZiRui Wang, Victor Adrian Prisacariu
To enhance the robustness of our model, we introduce a feature fusion module and a progressive training strategy.
1 code implementation • 14 Jan 2023 • Erik Isai Valle Salgado, Haoxin Yan, Yue Hong, Peiyuan Zhu, Shidong Zhu, Chengwei Liao, Yanxiang Wen, Xiu Li, Xiang Qian, Xiaohao Wang, Xinghui Li
However, related research enhanced the network models by applying TL without considering the domain similarity among datasets, the data long-tailedness of a source dataset, and mainly used linear transformations to mitigate the lack of samples.
no code implementations • 5 Aug 2022 • Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan
Specifically, we focus on human appearance and learn implicit pose, shape and garment representations of dressed humans from RGB images.
1 code implementation • 1 Apr 2022 • Shuai Chen, Xinghui Li, ZiRui Wang, Victor Adrian Prisacariu
We introduce a camera relocalization pipeline that combines absolute pose regression (APR) and direct feature matching.
1 code implementation • NeurIPS 2020 • Xinghui Li, Kai Han, Shuda Li, Victor Adrian Prisacariu
The fine-resolution feature maps are used to obtain the final dense correspondences guided by the refined coarse 4D correlation tensor.