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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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View Independent Generative Adversarial Network for Novel View Synthesis
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Synthesizing novel views from a 2D image requires to infer 3D structure and project it back to 2D from a new viewpoint. In this paper, we propose an encoder-decoder based generative adversarial network VI-GAN to tackle this problem. Our method is to let the network, after seeing many images of objects belonging to the same category in different views ...
Xiaogang Xu 0002 +2 more
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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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