3D Gaussian
3D Gaussian splatting is an explicit 3D scene representation technique that uses collections of 3D Gaussian functions to model objects and scenes, aiming for high-quality, real-time rendering. Current research focuses on improving the accuracy and efficiency of 3D Gaussian splatting, particularly addressing challenges like view-dependent effects, sparse viewpoints, and the handling of dynamic objects and large-scale scenes through various optimization strategies and model architectures. This approach offers significant advantages in applications such as novel view synthesis, 3D object detection, augmented reality, and even multimodal place recognition by providing a compact yet detailed representation of 3D environments.
250papers
Papers - Page 4
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Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation
Rohan Chacko, Nicolai Haeni, Eldar Khaliullin, Lin Sun, Douglas LeeJGHand: Joint-Driven Animatable Hand Avater via 3D Gaussian Splatting
Zhoutao Sun, Xukun Shen, Yong Hu, Yuyou Zhong, Xueyang ZhouOmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation
Yuchen Lin, Chenguo Lin, Jianjin Xu, Yadong Mu
January 25, 2025
January 17, 2025
January 15, 2025
CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation
Qi Ma, Runyi Yang, Bin Ren, Nicu Sebe, Ender Konukoglu, Luc Van Gool, Danda Pani PaudelGS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping
Sheng Hong, Chunran Zheng, Yishu Shen, Changze Li, Fu Zhang, Tong Qin, Shaojie Shen
January 14, 2025
January 13, 2025