Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction

• URL: http://arxiv.org/abs/2506.06988v1
• Date: Sun, 08 Jun 2025 04:08:51 GMT
• Title: Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction
• Authors: Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong,
• Abstract summary: We introduce a hybrid representation for indoor scenes that combines 3DGS with textured meshes.<n>Our approach uses textured meshes to handle texture-rich flat areas, while retaining Gaussians to model intricate geometries.<n>Extensive experiments demonstrate that the hybrid representation maintains comparable rendering quality and achieves superior frames per second FPS with fewer Gaussian primitives.
• Score: 15.990758415989939
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 3D Gaussian splatting (3DGS) has demonstrated exceptional performance in image-based 3D reconstruction and real-time rendering. However, regions with complex textures require numerous Gaussians to capture significant color variations accurately, leading to inefficiencies in rendering speed. To address this challenge, we introduce a hybrid representation for indoor scenes that combines 3DGS with textured meshes. Our approach uses textured meshes to handle texture-rich flat areas, while retaining Gaussians to model intricate geometries. The proposed method begins by pruning and refining the extracted mesh to eliminate geometrically complex regions. We then employ a joint optimization for 3DGS and mesh, incorporating a warm-up strategy and transmittance-aware supervision to balance their contributions seamlessly.Extensive experiments demonstrate that the hybrid representation maintains comparable rendering quality and achieves superior frames per second FPS with fewer Gaussian primitives.

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