Journal ArticleDOI
A survey on image-based rendering—representation, sampling and compression
Cha Zhang,Tsuhan Chen +1 more
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This paper surveys the various techniques developed for IBR, including representation, sampling and compression, and categorizes various IBR representations into two categories based on how the plenoptic function is simplified, namely restraining the viewing space and introducing source descriptions.Abstract:
Image-based rendering (IBR) has attracted a lot of research interest recently. In this paper, we survey the various techniques developed for IBR, including representation, sampling and compression. The goal is to provide an overview of research for IBR in a complete and systematic manner. We observe that essentially all the IBR representations are derived from the plenoptic function, which is seven dimensional and difficult to handle. We classify various IBR representations into two categories based on how the plenoptic function is simplified, namely restraining the viewing space and introducing source descriptions. In the former category, we summarize six common assumptions that were often made in various approaches and discuss how the dimension of the plenoptic function can be reduced based on these assumptions. In the latter category, we further categorize the methods based on what kind of source description was introduced, such as scene geometry, texture map or reflection model. Sampling and compression are also discussed respectively for both categories.read more
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Neural Sparse Voxel Fields
TL;DR: This work introduces Neural Sparse Voxel Fields (NSVF), a new neural scene representation for fast and high-quality free-viewpoint rendering that is over 10 times faster than the state-of-the-art (namely, NeRF) at inference time while achieving higher quality results.
Journal ArticleDOI
Multiview Imaging and 3DTV
TL;DR: The eight articles in this special section are devoted to multi-view imaging and three dimensional television displays.
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Video Frame Interpolation via Adaptive Convolution
Simon Niklaus,Long Mai,Feng Liu +2 more
TL;DR: This paper presents a robust video frame interpolation method that considers pixel synthesis for the interpolated frame as local convolution over two input frames and employs a deep fully convolutional neural network to estimate a spatially-adaptive convolution kernel for each pixel.
Proceedings ArticleDOI
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus,Long Mai,Feng Liu +2 more
TL;DR: In this paper, a deep fully convolutional neural network is proposed to estimate a spatially-adaptive convolution kernel for each pixel, which captures both the local motion between the input frames and the coefficients for pixel synthesis.
Journal ArticleDOI
Time-of-Flight Cameras in Computer Graphics
TL;DR: A growing number of applications depend on accurate and fast 3D scene analysis, and the estimation of a range map by image analysis or laser scan techniques is still a time‐consuming and expensive part of such systems.
References
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