Object-Aware 2D Gaussian Splatting Pipeline Overview
Figure 1: Overview of the proposed method. Top: The pipeline of our framework. In addition to the conventional 2DGS pipeline, we feed the target image (to be represented with 2D Gaussians) into a segmentation model to obtain object-wise segmentation masks. These masks are integrated into the Gaussian Rasterizer as Object Domain Information. Bottom: Details inside the Gaussian Rasterizer. Each segmentation mask is represented using only the 2D Gaussians that fall within its region.
Paper context
Paper title: Contour Information Aware 2D Gaussian Splatting for Image Representation Abstract: Image representation is a fundamental task in computer vision. Recently, Gaussian Splatting has emerged as an efficient representation framework, and its extension to 2D image representation enables lightweight, yet expressive modeling of visual content. While recent 2D Gaussian Splatting (2DGS) approaches provide compact storage and real-time decoding, they often produce blurry or indistinct boundaries when the number of Gaussians is small due to the lack of contour awareness. In this work, we propose a Contour Information-Aware 2D Gaussian Splatting framework that incorporates object segmentation priors into Gaussian-based image representation. By constraining each Gaussian to a specific segmentation region during rasterization, our method prevents cross-boundary blending and preserves edge structures under high compression. We also introduce a warm-up scheme to stabilize training and improve convergence. Experiments on synthetic color charts and the DAVIS dataset demonstrate that our approach achieves higher reconstruction quality around object edges compared to existing 2DGS methods. The improvement is particularly evident in scenarios with very few Gaussians, while our method still maintains fast rendering and low memory usage. Passages referencing this figure: Figure 1: Overview of the proposed method. Fig. 1 provides an overview of the proposed region-constrained rendering pipeline.
