1 citations · 1 across the 5 of their papers we have counts for
6 papers
DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine
Haozhe Lou, Runyi Yang, Wanqi Zhong +10
Cutting a piece of food looks effortless in human hands. For a robot, however, every cut is a high-contact interaction with a deformable, elasto-plastic object whose behavior chang…
Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data
Yizhao Xu, Hongyuan Zhu, Caiyun Liu +6
3D editing refers to the ability to apply local or global modifications to 3D assets. Effective 3D editing requires maintaining semantic consistency by performing localized changes…
Robust and High-Fidelity 3D Gaussian Splatting: Fusing Pose Priors and Geometry Constraints for Texture-Deficient Outdoor Scenes
Meijun Guo, Yongliang Shi, Caiyun Liu +5
3D Gaussian Splatting (3DGS) has emerged as a key rendering pipeline for digital asset creation due to its balance between efficiency and visual quality. To address the issues of u…
Camera Relocalization in Shadow-free Neural Radiance Fields
Shiyao Xu, Caiyun Liu, Yuantao Chen +5
Camera relocalization is a crucial problem in computer vision and robotics. Recent advancements in neural radiance fields (NeRFs) have shown promise in synthesizing photo-realistic…
Blending Distributed NeRFs with Tri-stage Robust Pose Optimization
Baijun Ye, Caiyun Liu, Xiaoyu Ye +6
Due to the limited model capacity, leveraging distributed Neural Radiance Fields (NeRFs) for modeling extensive urban environments has become a necessity. However, current distribu…
City-scale Incremental Neural Mapping with Three-layer Sampling and Panoptic Representation
Yongliang Shi, Runyi Yang, Pengfei Li +3
Neural implicit representations are drawing a lot of attention from the robotics community recently, as they are expressive, continuous and compact. However, city-scale continual i…