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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

Generative Novel View Synthesis with 3D-Aware Diffusion Models

IEEE International Conference on Computer Vision, 2023
We present a diffusion-based model for 3D-aware generative novel view synthesis from as few as a single input image. Our model samples from the distribution of possible renderings consistent with the input and, even in the presence of ambiguity, is ...
Eric Chan   +9 more
semanticscholar   +1 more source

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 Lakhal   +2 more
openaire   +1 more source

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