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CoMapGS: Covisibility Map-Based Gaussian Splatting for Sparse Novel View Synthesis

Computer Vision and Pattern Recognition
We propose Covisibility Map-Based Gaussian Splatting (CoMapGS), designed to recover underrepresented sparse regions in sparse novel view synthesis. CoMapGS addresses both high- and low-uncertainty regions by constructing covisibility maps, enhancing ...
Youngkyoon Jang   +1 more
semanticscholar   +1 more source

Rotationally-Consistent Novel View Synthesis for Humans

Proceedings of the 28th ACM International Conference on Multimedia, 2020
Human novel view synthesis aims to synthesize target views of a human subject given input images taken from one or more reference viewpoints. Despite significant advances in model-free novel view synthesis, existing methods present two major limitations when applied to complex shapes like humans.
Youngjoong Kwon   +5 more
openaire   +1 more source

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

European Conference on Computer Vision
X-ray is widely applied for transmission imaging due to its stronger penetration than natural light. When rendering novel view X-ray projections, existing methods mainly based on NeRF suffer from long training time and slow inference speed. In this paper,
Yuanhao Cai   +7 more
semanticscholar   +1 more source

Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections

IEEE International Conference on Computer Vision, 2023
Neural Radiance Fields (NeRF) is a revolutionary approach for rendering scenes by sampling a single ray per pixel and it has demonstrated impressive capabilities in novel-view synthesis from static scene images.
Yifan Yang   +4 more
semanticscholar   +1 more source

Bi-layer inpainting for novel view synthesis

2011 18th IEEE International Conference on Image Processing, 2011
We present a bi-layer inpainting method for synthesizing novel views from a single color image and its corresponding depth map under the exemplar-based inpainting framework. Unlike conventional image inpainting, the decisions of the inpainting direction and the sample regions are important to inpaint disoccluded regions which disclose hidden background
Hwasup Lim   +5 more
openaire   +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

Novel view synthesis using a translating camera

Pattern Recognition Letters, 2005
This paper addresses the problem of synthesizing novel views of a scene using images taken by an uncalibrated translating camera. We propose a method for synthesis of views corresponding to translational motion of the camera. Our scheme can handle occlusions and changes in visibility in the synthesized views.
Geetika Sharma   +4 more
openaire   +1 more source

True Self-Supervised Novel View Synthesis is Transferable

arXiv.org
In this paper, we identify that the key criterion for determining whether a model is truly capable of novel view synthesis (NVS) is transferability: Whether any pose representation extracted from one video sequence can be used to re-render the same ...
Thomas W. Mitchel   +2 more
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

High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion

International Conference on Computer Graphics and Interactive Techniques
Despite recent advances in Novel View Synthesis (NVS), generating high-fidelity views from single or sparse observations remains challenging. Existing splatting-based approaches often produce distorted geometry due to splatting errors.
Xiang Zhang   +4 more
semanticscholar   +1 more source

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