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CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians

European Conference on Computer Vision
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 Splatting (3DGS).
Avinash Paliwal   +6 more
semanticscholar   +1 more source

Appearance Flow Completion for Novel View Synthesis

Computer Graphics Forum, 2019
AbstractNovel view synthesis from sparse and unstructured input views faces challenges like the difficulty with dense 3D reconstruction and large occlusion. This paper addresses these problems by estimating proper appearance flows from the target to input views to warp and blend the input views.
Hoang Le, Feng Liu 0015
openaire   +2 more sources

View-Invariant Policy Learning via Zero-Shot Novel View Synthesis

Conference on Robot Learning
Large-scale visuomotor policy learning is a promising approach toward developing generalizable manipulation systems. Yet, policies that can be deployed on diverse embodiments, environments, and observational modalities remain elusive.
Stephen Tian   +6 more
semanticscholar   +1 more source

Novel view synthesis by cascading trilinear tensors

IEEE Transactions on Visualization and Computer Graphics, 1998
Presents a new method for synthesizing novel views of a 3D scene from two or three reference images in full correspondence. The core of this work is the use and manipulation of an algebraic entity, termed the "trilinear tensor", that links point correspondences across three images.
Shai Avidan, Amnon Shashua
openaire   +1 more source

Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis

Neural Information Processing Systems
Despite the substantial progress of novel view synthesis, existing methods, either based on the Neural Radiance Fields (NeRF) or more recently 3D Gaussian Splatting (3DGS), suffer significant degradation when the input becomes sparse.
Rui Peng   +5 more
semanticscholar   +1 more source

Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis

European Conference on Computer Vision
Novel-view synthesis based on visible light has been extensively studied. In comparison to visible light imaging, thermal infrared imaging offers the advantage of all-weather imaging and strong penetration, providing increased possibilities for ...
Qian Chen, Shihao Shu, Xiangzhi Bai
semanticscholar   +1 more source

GeoRGS: Geometric Regularization for Real-Time Novel View Synthesis From Sparse Inputs

IEEE transactions on circuits and systems for video technology (Print)
When the number of available training views is limited, NeRF and 3DGS will soon overfit the optimization and learn the wrong scene geometry. For this challenge, a common solution is to provide depth prior as supervision to correct scene geometry. In this
Zhaoliang Liu   +5 more
semanticscholar   +1 more source

MVGS: Multi-view-regulated Gaussian Splatting for Novel View Synthesis

arXiv.org
Recent works in volume rendering, \textit{e.g.} NeRF and 3D Gaussian Splatting (3DGS), significantly advance the rendering quality and efficiency with the help of the learned implicit neural radiance field or 3D Gaussians. Rendering on top of an explicit
Xiaobiao Du, Yida Wang, Xin Yu
semanticscholar   +1 more source

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

Neural Information Processing Systems
Novel view synthesis is an important problem with many applications, including AR/VR, gaming, and robotic simulations. With the recent rapid development of Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS) methods, it is becoming difficult ...
Jonáš Kulhánek, Torsten Sattler
semanticscholar   +1 more source

Novel View Synthesis for Surgical Recording

2022
Mana Masuda   +3 more
openaire   +1 more source

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