157 citations · 199 across the 10 of their papers we have counts for
10 papers
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild
Weicai Ye, Xinyu Chen, Ruohao Zhan +7
This paper proposes a concise, elegant, and robust pipeline to estimate smooth camera trajectories and obtain dense point clouds for casual videos in the wild. Traditional framewor…
PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Danpeng Chen, Hai Li, Weicai Ye +7
Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-quality rendering, and ultra-fast training and rendering speed. However, due to the unstru…
Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy
Jiuming Liu, Ruiji Yu, Yian Wang +4
Recently, state space model (SSM) has gained great attention due to its promising performance, linear complexity, and long sequence modeling ability in both language and image doma…
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model
Jiuming Liu, Guangming Wang, Weicai Ye +6
Scene flow estimation, which aims to predict per-point 3D displacements of dynamic scenes, is a fundamental task in the computer vision field. However, previous works commonly suff…
Improving Feature-based Visual Localization by Geometry-Aided Matching
Hailin Yu, Youji Feng, Weicai Ye +3
Feature matching is crucial in visual localization, where 2D-3D correspondence plays a major role in determining the accuracy of camera pose. A sufficient number of well-distribute…
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
Weicai Ye, Shuo Chen, Chong Bao +4
Existing inverse rendering combined with neural rendering methods can only perform editable novel view synthesis on object-specific scenes, while we present intrinsic neural radian…
iDF-SLAM: End-to-End RGB-D SLAM with Neural Implicit Mapping and Deep Feature Tracking
Yuhang Ming, Weicai Ye, Andrew Calway
We propose a novel end-to-end RGB-D SLAM, iDF-SLAM, which adopts a feature-based deep neural tracker as the front-end and a NeRF-style neural implicit mapper as the back-end. The n…
DFlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance
Xingyuan Yu, Weicai Ye, Xiyue Guo +5
In this paper, we introduce a self-supervised deep SLAM method that robustly operates in dynamic scenes while accurately identifying dynamic components. Our method leverages a dual…
PVO: Panoptic Visual Odometry
Weicai Ye, Xinyue Lan, Shuo Chen +5
We present PVO, a novel panoptic visual odometry framework to achieve more comprehensive modeling of the scene motion, geometry, and panoptic segmentation information. Our PVO mode…
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation
Weicai Ye, Xinyue Lan, Ge Su +3
Video Panoptic Segmentation (VPS) aims to generate coherent panoptic segmentation and track the identities of all pixels across video frames. Existing methods predominantly utilize…