4 citations · 7 across the 7 of their papers we have counts for
8 papers
4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
Mengqi Guo, Bo Xu, Yanyan Li +1
Novel view synthesis from monocular videos of dynamic scenes with unknown camera poses remains a fundamental challenge in computer vision and graphics. While recent advances in 3D…
MVGSR: Multi-View Consistency Gaussian Splatting for Robust Surface Reconstruction
Chenfeng Hou, Qi Xun Yeo, Mengqi Guo +3
3D Gaussian Splatting (3DGS) has gained significant attention for its high-quality rendering capabilities, ultra-fast training, and inference speeds. However, when we apply 3DGS to…
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
Mengqi Guo, Chen Li, Yuyang Zhao +1
Inferring step-wise actions to assemble 3D objects with primitive bricks from images is a challenging task due to complex constraints and the vast number of possible combinations.…
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields
Bo Xu, Ziao Liu, Mengqi Guo +2
We propose a novel rolling shutter bundle adjustment method for neural radiance fields (NeRF), which utilizes the unordered rolling shutter (RS) images to obtain the implicit 3D re…
GNeSF: Generalizable Neural Semantic Fields
Hanlin Chen, Chen Li, Mengqi Guo +2
3D scene segmentation based on neural implicit representation has emerged recently with the advantage of training only on 2D supervision. However, existing approaches still require…
UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit Representation
Mengqi Guo, Chen Li, Hanlin Chen +1
Recent neural implicit representations (NIRs) have achieved great success in the tasks of 3D reconstruction and novel view synthesis. However, they require the images of a scene fr…
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Qing Liu, Adam Kortylewski, Zhishuai Zhang +7
Part segmentations provide a rich and detailed part-level description of objects. However, their annotation requires an enormous amount of work, which makes it difficult to apply s…
Unsupervised Part Discovery via Feature Alignment
Mengqi Guo, Yutong Bai, Zhishuai Zhang +2
Understanding objects in terms of their individual parts is important, because it enables a precise understanding of the objects' geometrical structure, and enhances object recogni…