ICCV 2025 | RobustSplat: 解耦致密化与动态的抗瞬态3DGS三维重建

Core Viewpoint - The article discusses the RobustSplat method, which addresses the challenges of 3D Gaussian Splatting (3DGS) in rendering dynamic objects by introducing a delayed Gaussian growth strategy and a scale-cascade mask guidance method to reduce rendering artifacts caused by transient objects [2][21]. Research Motivation - The motivation stems from understanding the dual role of Gaussian densification in 3DGS, which enhances scene detail but also risks overfitting dynamic areas, leading to artifacts and scene distortion. The goal is to balance static structure representation and dynamic interference suppression [6][8]. Methodology - Transient Mask Estimation: Utilizes a Mask MLP with two linear layers to output pixel-wise transient masks, distinguishing between transient and static regions [9]. - Feature Selection: DINOv2 features are chosen for their balance of semantic consistency, noise resistance, and computational efficiency, outperforming other feature sets like Stable Diffusion and SAM [10]. - Supervision Design: Combines image residual loss and feature cosine similarity loss for mask MLP optimization, enhancing dynamic area recognition [12]. - Delayed Gaussian Growth Strategy: This core strategy postpones the densification process to prioritize static scene structure optimization, reducing the risk of misclassifying static areas as transient [13]. - Scale-Cascade Mask Guidance: Initially estimates transient masks using low-resolution features, then transitions to high-resolution supervision for more accurate mask predictions [14]. Experimental Results - Experiments on NeRF On-the-go and RobustNeRF datasets show that RobustSplat outperforms baseline methods like 3DGS, SpotLessSplats, and WildGaussians across various metrics, including PSNR, SSIM, and LPIPS [16][21]. Summary - RobustSplat effectively reduces rendering artifacts caused by transient objects through its innovative strategies, demonstrating superior performance in complex scenes with dynamic elements while preserving detail [19][21].