SRG-Net: A Self-supervised 3D Scene Representation Method via Graph Contrastive Learning for Novel View Synthesis

抄録

Accurate scene representation holds practical significance for autonomous driving and virtual reality. This letter proposes a network to optimize images encoding and features learning for better scene representations. Experimental results show that this method can render high-quality novel images on both synthetic and real-world datasets.