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View transformation and novel view synthesis based on deep learning

2023
Novel View Synthesis (NVS) allows the generation of target images with different views from a single input image or multiple images while view transformation is a key intermediate step for the task. Recent years have seen an increasing interest in NVS due to its wide applications, whilst with the development of deep learning, methods of NVS based on ...
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Novel view synthesis via indexed function interpolation

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
Synthesizing images of a real scene at novel viewpoints other than those of some given images is important for image-based rendering, hybrid reality, and other applications that involve real scenes. Novel view synthesis has been dealt with via explicit 3D reconstruction, image transfer, or plenoptic modeling.
null Bodong Liang, R. Chung
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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

Inovis: Instant Novel-View Synthesis

SIGGRAPH Asia 2023 Conference Papers, 2023
Mathias Harrer   +4 more
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Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis

Neural Information Processing Systems
Generalizable 3D Gaussian splitting (3DGS) can reconstruct new scenes from sparse-view observations in a feed-forward inference manner, eliminating the need for scene-specific retraining required in conventional 3DGS.
Zhiyuan Min   +3 more
semanticscholar   +1 more source

Synthesis: novel radiography view synthesis

2023
Haofu Liao, S. Kevin Zhou, Jiebo Luo
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FLEXIBLE INPUT FOR NOVEL VIEW SYNTHESIS

Synthesizing novel views of a scene from a limited number of input images is a long-standing problem. It has enormous practical applications, such as virtual museums, online meetings, and sports event streaming. The emergence of virtual reality technology has also made it easier for people to observe and interact with virtual environments, highlighting
openaire   +1 more source

NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images

Computer Vision and Pattern Recognition
Recent advancements in generative models have significantly improved novel view synthesis (NVS) from multi-view data. However, existing methods depend on external multiview alignment processes, such as explicit pose estimation or pre-reconstruction ...
Lingen Li   +9 more
semanticscholar   +1 more source

Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting

ECCV Workshops
3D Gaussian splatting has surpassed neural radiance field methods in novel view synthesis by achieving lower computational costs and real-time high-quality rendering.
Raja Kumar, Vanshika Vats
semanticscholar   +1 more source

Feature Splatting for Better Novel View Synthesis with Low Overlap

British Machine Vision Conference
3D Gaussian Splatting has emerged as a very promising scene representation, achieving state-of-the-art quality in novel view synthesis significantly faster than competing alternatives.
T. B. Martins, Javier Civera
semanticscholar   +1 more source

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