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A novel intermediate view synthesis method

IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009), 2009
The intermediate view synthesis from arbitrary view plays an important role in three dimensional television system and multi-video compression. In this paper, we present a new view synthesis method based on a modified support-weights computation in disparity estimation, which utilize the centralized color vector and phase information, then we propose a
null Qian Zhang   +4 more
openaire   +1 more source

GauFRe: Gaussian Deformation Fields for Real-Time Dynamic Novel View Synthesis

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023
We propose a method that achieves state-of-the-art rendering quality and efficiency on monocular dynamic scene reconstruction using deformable 3D Gaussians.
Yiqing Liang   +6 more
semanticscholar   +1 more source

Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections

Neural Information Processing Systems
Photographs captured in unstructured tourist environments frequently exhibit variable appearances and transient occlusions, challenging accurate scene reconstruction and inducing artifacts in novel view synthesis.
Jiacong Xu, Yiqun Mei, Vishal M. Patel
semanticscholar   +1 more source

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

Neural Information Processing Systems
High dynamic range (HDR) novel view synthesis (NVS) aims to create photorealistic images from novel viewpoints using HDR imaging techniques. The rendered HDR images capture a wider range of brightness levels containing more details of the scene than ...
Yuanhao Cai   +7 more
semanticscholar   +1 more source

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

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

MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement

arXiv.org
Existing works in single-image human reconstruction suffer from weak generalizability due to insufficient training data or 3D inconsistencies for a lack of comprehensive multi-view knowledge.
Xu He   +9 more
semanticscholar   +1 more source

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

arXiv.org
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

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

BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis

arXiv.org
We present billboard Splatting (BBSplat) - a novel approach for novel view synthesis based on textured geometric primitives. BBSplat represents the scene as a set of optimizable textured planar primitives with learnable RGB textures and alpha-maps to ...
D. Svitov   +3 more
semanticscholar   +1 more source

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