6 papers
Point-Selection Fine-Tuning Framework for Robust Point Cloud Classification
Da Li, Chang Ma, Dongfu Yin
Noisy and corrupted points can substantially degrade point cloud recognition performance, especially under challenging corruption settings. In particular, full fine-tuning of 3D pr…
EfficientMonoHair: Fast Strand-Level Reconstruction from Monocular Video via Multi-View Direction Fusion
Da Li, Dominik Engel, Deng Luo +1
Strand-level hair geometry reconstruction is a fundamental problem in virtual human modeling and the digitization of hairstyles. However, existing methods still suffer from a signi…
SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery
Da Li, Jiping Jin, Xuanlong Yu +6
Parametric 3D human models such as SMPL have driven significant advances in human pose and shape estimation, yet their simplified kinematics limit biomechanical realism. The recent…
SkinningGS: Editable Dynamic Human Scene Reconstruction Using Gaussian Splatting Based on a Skinning Model
Da Li, Donggang Jia, Markus Hadwiger +1
Reconstructing an interactive human avatar and the background from a monocular video of a dynamic human scene is highly challenging. In this work we adopt a strategy of point cloud…
RaRa Clipper: A Clipper for Gaussian Splatting Based on Ray Tracer and Rasterizer
Da Li, Donggang Jia, Yousef Rajeh +2
With the advancement of Gaussian Splatting techniques, a growing number of datasets based on this representation have been developed. However, performing accurate and efficient cli…
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
Mengke Li, Da Li, Guoqing Yang +2
Pre-trained large-scale models have exhibited remarkable efficacy in computer vision, particularly for 2D image analysis. However, when it comes to 3D point clouds, the constrained…