RSD Difference of Gaussian
Research on RSD (Rotating Second Derivative) Difference of Gaussian (DOG) methods, and Gaussian Splatting more broadly, focuses on creating efficient and high-fidelity 3D scene representations, particularly for novel view synthesis and real-time rendering. Current efforts center on improving the accuracy and efficiency of Gaussian-based models, addressing challenges like overfitting, memory limitations, and handling diverse data types (e.g., LiDAR, raw images, event cameras). These advancements have significant implications for various applications, including 3D reconstruction, robotics, augmented/virtual reality, and computer vision tasks such as object pose estimation and image editing.
Papers
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos
Zhiyuan Chen, Fan Lu, Guo Yu, Bin Li, Sanqing Qu, Yuan Huang, Changhong Fu, Guang Chen
Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance
Jing Zeng, Qi Ye, Tianle Liu, Yang Xu, Jin Li, Jinming Xu, Liang Li, Jiming Chen
Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable
Zhanfeng Wang, Xinyu Li, Jian Qing Shi
SuperGaussians: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors
Rui Xu, Wenyue Chen, Jiepeng Wang, Yuan Liu, Peng Wang, Lin Gao, Shiqing Xin, Taku Komura, Xin Li, Wenping Wang
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation
Yuanhao Cai, He Zhang, Kai Zhang, Yixun Liang, Mengwei Ren, Fujun Luan, Qing Liu, Soo Ye Kim, Jianming Zhang, Zhifei Zhang, Yuqian Zhou, Zhe Lin, Alan Yuille
Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
William N. Caballero, Matthew LaRosa, Alexander Fisher, Vahid Tarokh
Learning multivariate Gaussians with imperfect advice
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis
Automated 3D Physical Simulation of Open-world Scene with Gaussian Splatting
Haoyu Zhao, Hao Wang, Xingyue Zhao, Hongqiu Wang, Zhiyu Wu, Chengjiang Long, Hua Zou
Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
Haodong Chen, Runnan Chen, Qiang Qu, Zhaoqing Wang, Tongliang Liu, Xiaoming Chen, Yuk Ying Chung
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression
Zhixiang Wang, Xudong Li, Yizhai Zhang, Fan Zhang, Panfeng