Search Results for author: Xiangyue Liu

Found 4 papers, 3 papers with code

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

1 code implementation CVPR 2022 Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu

We analogize MVS back to its nature of a feature matching task and therefore propose a powerful Feature Matching Transformer (FMT) to leverage intra- (self-) and inter- (cross-) attention to aggregate long-range context information within and across images.

3D Reconstruction Feature Correlation

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo

1 code implementation21 Jul 2022 Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang

Supervised multi-view stereo (MVS) methods have achieved remarkable progress in terms of reconstruction quality, but suffer from the challenge of collecting large-scale ground-truth depth.

Knowledge Distillation Self-Supervised Learning

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives

1 code implementation21 Jul 2022 Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang

Recently, Implicit Neural Representations (INRs) parameterized by neural networks have emerged as a powerful and promising tool to represent different kinds of signals due to its continuous, differentiable properties, showing superiorities to classical discretized representations.

Inverse Rendering

2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020

no code implementations21 Oct 2020 Kai Jiang, Xiangyue Liu, Zheng Ju, Xiang Luo

Compared with MS-COCO, the dataset for the competition has a larger proportion of large objects which area is greater than 96x96 pixels.

Instance Segmentation Object +2

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