BAGS: Blur agnostic Gaussian splatting through multi-scale kernel modeling
Recent efforts in using 3D Gaussians for scene reconstruction and novel view synthesis can
achieve impressive results on curated benchmarks; however, images captured in real life …
achieve impressive results on curated benchmarks; however, images captured in real life …
Robust gaussian splatting
In this paper, we address common error sources for 3D Gaussian Splatting (3DGS) including
blur, imperfect camera poses, and color inconsistencies, with the goal of improving its …
blur, imperfect camera poses, and color inconsistencies, with the goal of improving its …
Crim-gs: Continuous rigid motion-aware gaussian splatting from motion blur images
Neural radiance fields (NeRFs) have received significant attention due to their high-quality
novel view rendering ability, prompting research to address various real-world cases. One …
novel view rendering ability, prompting research to address various real-world cases. One …
Sparse-DeRF: Deblurred Neural Radiance Fields from Sparse View
Recent studies construct deblurred neural radiance fields (DeRF) using dozens of blurry
images, which are not practical scenarios if only a limited number of blurry images are …
images, which are not practical scenarios if only a limited number of blurry images are …
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions
M Sprintson, R Chellappa, C Peng - arXiv preprint arXiv:2409.15132, 2024 - arxiv.org
We introduce FusionRF, a novel neural rendering terrain reconstruction method from
optically unprocessed satellite imagery. While previous methods depend on external …
optically unprocessed satellite imagery. While previous methods depend on external …
LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
Neural Radiance Fields (NeRFs) have shown remarkable performances in producing novel-
view images from high-quality scene images. However, hand-held low-light photography …
view images from high-quality scene images. However, hand-held low-light photography …
NeRF-FF: a plug-in method to mitigate defocus blur for runtime optimized neural radiance fields
Neural radiance fields (NeRFs) have revolutionized novel view synthesis, leading to an
unprecedented level of realism in rendered images. However, the reconstruction quality of …
unprecedented level of realism in rendered images. However, the reconstruction quality of …
An Immersive Multi-Elevation Multi-Seasonal Dataset for 3D Reconstruction and Visualization
Significant progress has been made in photo-realistic scene reconstruction over recent
years. Various disparate efforts have enabled capabilities such as multi-appearance or large …
years. Various disparate efforts have enabled capabilities such as multi-appearance or large …
CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images
3D Gaussian Splatting (3DGS) has attracted significant attention for its high-quality novel
view rendering, inspiring research to address real-world challenges. While conventional …
view rendering, inspiring research to address real-world challenges. While conventional …
fNeRF: High Quality Radiance Fields from Practical Cameras
In recent years, the development of Neural Radiance Fields has enabled a previously
unseen level of photo-realistic 3D reconstruction of scenes and objects from multi-view …
unseen level of photo-realistic 3D reconstruction of scenes and objects from multi-view …