NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
2023-08-24Code Available0· sign in to hype
Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/dakshitagrawal/novaOfficialIn paperpytorch★ 5
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.