Results 291 to 300 of about 974,149 (336)

Novel View Synthesis With Skip Connections

2020 IEEE International Conference on Image Processing (ICIP), 2020
Novel view synthesis is the task of synthesizing an image of an object at an arbitrary viewpoint given one or a few views of the object [1]. The output image of novel view synthesis exhibits a significant structural change from the input. Because of the large change, the skip connections or U-Net architecture, which can sustain the multi-level ...
Juhyeon Kim, Young Min Kim 0001
openaire   +1 more source

Novel view synthesis in tensor space

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002
We 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
openaire   +1 more source

Learning Residual Color for Novel View Synthesis

IEEE Transactions on Image Processing, 2022
Scene 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
openaire   +2 more sources

View-LSTM: Novel-View Video Synthesis Through View Decomposition

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
We tackle the problem of synthesizing a video of multiple moving people as seen from a novel view, given only an input video and depth information or human poses of the novel view as prior. This problem requires a model that learns to transform input features into target features while maintaining temporal consistency.
Mohamed Ilyes Lakhal   +2 more
openaire   +1 more source

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