NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects

08/24/2023
by   Dakshit Agrawal, et al.
0

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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset