Oct 9, 2022 · In this paper, taking advantage of significant redundancy across adjacent frames in videos, we propose a feature-reusing framework.

Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) [16] extends it to dynamic scenes ( ...

Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) [16] extends it to dynamic scenes ( ...

In this work, we present the first neural rendering method that decomposes dynamic scenes into scene graphs. We propose a learned scene graph representation, ...

Co-authors ; Towards Efficient Neural Scene Graphs by Learning Consistency Fields. Y Song, C Kong, S Lee, N Kwak, J Lee. Proceedings of the British Machine ...

Neural Scene Graphs can be rendered more efficiently and in a more controllable manner by learning the consistency field of a given scene. Few-shot Image ...

In this work, we present the first neural rendering method that represents multi-object dynamic scenes as scene graphs. We propose a ...

Missing: Graphs Learning

Neural scene graphs for dynamic scenes. In. CVPR, pages 2856–2865, 2021 ... Towards efficient neural scene graphs by learning consistency fields. arXiv ...

We propose a learned scene graph repre- sentation, which encodes object transformations and radi- ance, allowing us to efficiently render novel arrangements and ...