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arXiv · 2308.12560

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects

Dakshit Agrawal·Jiajie Xu·Siva Karthik Mustikovela·Ioannis Gkioulekas·Ashish Shrivastava·Yuning Chai
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Abstract

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.

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Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai. 2023-08-24. NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. https://arxiv.org/abs/2308.12560

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