Radiance fields have demonstrated impressive performance in synthesizing novel views
from sparse input views yet prevailing methods suffer from high training costs and slow …

In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …

The field of 3D reconstruction from images has rapidly evolved in the past few years, first
with the introduction of Neural Radiance Field (NeRF) and more recently with 3D Gaussian …

Abstract Neural Radiance Field (NeRF) has achieved superior performance for novel view
synthesis by modeling the scene with a Multi-Layer Perception (MLP) and a volume …

We present ZeroRF a novel per-scene optimization method addressing the challenge of
sparse view 360deg reconstruction in neural field representations. Current breakthroughs …

Recent developments in differentiable and neural rendering have made impressive
breakthroughs in a variety of 2D and 3D tasks, eg novel view synthesis, 3D reconstruction …

Abstract Neural Radiance Fields (NeRF) have shown impressive capabilities for
photorealistic novel view synthesis when trained on dense inputs. However when trained on …

Abstract Neural Radiance Fields (NeRF) have been successfully applied in various aerial
scenes yet they face challenges with sparse views due to limited supervision. The …

We present a novel approach for recovering 3D shape and view dependent appearance
from a few colored images, enabling efficient 3D reconstruction and novel view synthesis …

A recent trend among generalizable novel view synthesis methods is to learn a rendering
operator acting over single camera rays. This approach is promising because it removes the …