Medical imaging analysis has witnessed remarkable advancements even surpassing
human-level performance in recent years, driven by the rapid development of advanced …

This paper introduces a novel continual learning framework for synthesising novel views of
multiple scenes, learning multiple 3D scenes incrementally, and updating the network …

Indoor scenes we are living in are visually homogenous or textureless, while they inherently
have structural forms and provide enough structural priors for 3D scene reconstruction …

The generation of a virtual digital avatar is a crucial research topic in the field of computer
vision. Many existing works utilize Neural Radiance Fields (NeRF) to address this issue and …

Inventory monitoring in homes, factories, and retail stores relies on maintaining data despite
objects being swapped, added, removed, or moved. We introduce Lifelong LERF, a method …

Neural radiance fields (NeRF) have exhibited highly photorealistic rendering of novel views
through per-scene optimization over a single 3D scene. With the growing popularity of NeRF …

In medical image visualization, path tracing of volumetric medical data like CT scans
produces lifelike three-dimensional visualizations. Immersive VR displays can further …

Neural radiance fields (NeRF) is a promising approach for generating photorealistic images
and representing complex scenes. However, when processing data sequentially, it can …

This paper addresses the problem of reconstructing a scene online at the level of objects
given an RGB-D video sequence. While current object-aware neural implicit representations …