3D Gaussian Splattingのための新しい分割アルゴリズム
新しい3D Gaussian分割アルゴリズムは、均一性と表面に限定されたモデルを生成し、明確な境界を生み出すことができる。
Gaussian Splatting for Motion Blur and Rolling Shutter Compensation
Efficiently implement motion blur and rolling shutter effects in 3D Gaussian Splatting for improved scene reconstruction.
3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization
LiDARとカメラデータを統合した3D Gaussian Splattingの効果的な活用
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Enhancing 3D Gaussian splatting with depth and normal priors for improved indoor scene reconstruction.
3D Gaussian Model for Animation and Texturing: Driving Interactive Applications with 3DGM
3D Gaussian Model (3DGM) enables novel animation and texture transfer for interactive applications.
3D Gaussian Splatting의 오류 분석과 최적 투영 전략에 대한 솔직한 분석
3D Gaussian Splatting의 투영 오류와 최적 투영 전략에 대한 분석
SuperGS: Enhancing 3D Gaussian Splatting for High-Resolution Novel View Synthesis by Leveraging Low-Resolution Inputs
SuperGS is a novel method that achieves high-resolution novel view synthesis from low-resolution inputs by enhancing 3D Gaussian Splatting with a two-stage coarse-to-fine framework, Multi-resolution Feature Gaussian Splatting (MFGS), and Gradient-guided Selective Splitting (GSS).
透過潛在特徵場和梯度引導分割實現超解析度 3D 高斯樣條函數：SuperGS
SuperGS 是一種用於高解析度新視圖合成的兩階段訓練框架，透過利用預先訓練的低解析度場景表示作為超解析度優化的初始化，並引入多解析度特徵高斯樣條函數 (MFGS) 和梯度引導選擇性分割 (GSS) 來增強細節並有效地對場景進行上採樣。
Mode-GS: Enhancing 3D Gaussian Splatting with Monocular Depth for Ground-View Scene Rendering
Mode-GS is a novel rendering approach that leverages monocular depth estimation and anchored Gaussian splatting to enable robust novel view synthesis in ground-view scenes, overcoming limitations of traditional 3DGS methods in environments with sparse multi-view observations and inaccurate poses.
단안 깊이 기반 앵커 3D 가우시안 스플래팅 기법을 이용한 강건한 지상 로봇 데이터셋 기반의 Novel View 합성
본 논문에서는 단안 깊이 정보를 활용하여 앵커 기반의 3D 가우시안 스플래팅 기법을 개선한 Mode-GS를 제안하며, 이를 통해 복잡한 지상 로봇 데이터셋에서 강건한 Novel View Rendering 성능을 달성했습니다.