2023/08/24 by Dakshit Agrawal, Agrawal, Dakshit, Jiajie Xu +9 · 2 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Robotics and Sensor-Based Localization
paper · pdf · doi:10.48550/arxiv.2308.12560
We propose a novel-view augmentation (NOVA) strategy to train NeRFs for photo-realistic 3D composition of dynamic objects in a static scene. Compared to prior work, our framework significantly reduces blending artifacts when inserting multiple dynamic objects into a 3D scene at novel views and times; achieves comparable PSNR without the need for additional ground truth modalities like optical flow; and overall provides ease, flexibility, and scalability in neural composition. Our codebase is on GitHub.