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MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
In this work, we propose MixNeRF, an effective training strategy for novel view synthesis from sparse inputs by modeling a ray with a mixture density model.
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation
U-net, a conventional approach for conditional GANs, retains fine details of unmasked regions but the style of the reconstructed image is inconsistent with the rest of the original image and only works robustly when the size of the occluding object is small enough.
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