2 citations · 2 across the 14 of their papers we have counts for
8 papers · 1 filter
SGW-based Multi-Task Learning in Vision Tasks
Ruiyuan Zhang, Yuyao Chen, Yuchi Huo +4
Multi-task-learning(MTL) is a multi-target optimization task. Neural networks try to realize each target using a shared interpretative space within MTL. However, as the scale of da…
LiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting
Qifeng Chen, Sheng Yang, Sicong Du +4
We present LiDAR-GS, a Gaussian Splatting (GS) method for real-time, high-fidelity re-simulation of LiDAR scans in public urban road scenes. Recent GS methods proposed for cameras…
AdaptiveFusion: Adaptive Multi-Modal Multi-View Fusion for 3D Human Body Reconstruction
Anjun Chen, Xiangyu Wang, Zhi Xu +5
Recent advancements in sensor technology and deep learning have led to significant progress in 3D human body reconstruction. However, most existing approaches rely on data from a s…
Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling
Yuxin Dai, Qi Wang, Jingsen Zhu +4
We present MIRReS, a novel two-stage inverse rendering framework that jointly reconstructs and optimizes the explicit geometry, material, and lighting from multi-view images. Unlik…
HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos
Qifeng Chen, Rengan Xie, Kai Huang +4
Recently, implicit neural representation has been widely used to generate animatable human avatars. However, the materials and geometry of those representations are coupled in the…
LDM: Large Tensorial SDF Model for Textured Mesh Generation
Rengan Xie, Wenting Zheng, Kai Huang +5
Previous efforts have managed to generate production-ready 3D assets from text or images. However, these methods primarily employ NeRF or 3D Gaussian representations, which are not…
CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory
Yunlong Ran, Yanxu Li, Qi Ye +4
Neural radiance field (NeRF) has achieved impressive results in high-quality 3D scene reconstruction. However, NeRF heavily relies on precise camera poses. While recent works like…
2L3: Lifting Imperfect Generated 2D Images into Accurate 3D
Yizheng Chen, Rengan Xie, Qi Ye +5
Reconstructing 3D objects from a single image is an intriguing but challenging problem. One promising solution is to utilize multi-view (MV) 3D reconstruction to fuse generated MV…