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Learning Residual Color for Novel View Synthesis
IEEE Transactions on Image Processing, 2022Scene Representation Networks (SRN) have been proven as a powerful tool for novel view synthesis in recent works. They learn a mapping function from the world coordinates of spatial points to radiance color and the scene's density using a fully connected network. However, scene texture contains complex high-frequency details in practice that is hard to
Lei Han +4 more
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Novel view synthesis in tensor space
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from a given tensor of three views to a novel tensor of a new configuration of three views.
Shai Avidan, Amnon Shashua
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Rotationally-Consistent Novel View Synthesis for Humans
Proceedings of the 28th ACM International Conference on Multimedia, 2020Human 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
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Bi-layer inpainting for novel view synthesis
2011 18th IEEE International Conference on Image Processing, 2011We 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
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