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Inovis: Instant Novel-View Synthesis [PDF]
SIGGRAPH Asia 2023 Conference Papers, 2023 Novel-view synthesis is an ill-posed problem in that it requires inference of previously unseen information. Recently, reviving the traditional field of image-based rendering, neural methods proved particularly suitable for this interpolation ...
Mathias Harrer +4 more
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Novel-View Synthesis of Human Tourist Photos [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 We present a novel framework for performing novel-view synthesis on human tourist photos. Given a tourist photo from a known scene, we reconstruct the photo in 3D space through modeling the human and the background independently.
Jonathan Freer +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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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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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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Appearance Flow Completion for Novel View Synthesis
Computer Graphics Forum, 2019AbstractNovel view synthesis from sparse and unstructured input views faces challenges like the difficulty with dense 3D reconstruction and large occlusion. This paper addresses these problems by estimating proper appearance flows from the target to input views to warp and blend the input views.
Hoang Le, Feng Liu 0015
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Novel view synthesis by cascading trilinear tensors
IEEE Transactions on Visualization and Computer Graphics, 1998Presents a new method for synthesizing novel views of a 3D scene from two or three reference images in full correspondence. The core of this work is the use and manipulation of an algebraic entity, termed the "trilinear tensor", that links point correspondences across three images.
Shai Avidan, Amnon Shashua
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Inverse tensor transfer for novel view synthesis
IEEE International Conference on Image Processing 2005, 2005This paper provides a new transfer based novel view synthesis method. This method does not need a pre-computed dense depth map, therefore overcomes most common problems associated with conventional dense correspondence algorithms, yet still produce very photo-realistic novel images.
Hongdong Li, Richard I. Hartley
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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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