A feed-forward network with iterative feedback and a coupled multi-resolution Gaussians-on-Mesh representation sets state-of-the-art rendering quality for generalizable human avatars from sparse views.
Our method produces more complete shape and sharper details
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LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh
A feed-forward network with iterative feedback and a coupled multi-resolution Gaussians-on-Mesh representation sets state-of-the-art rendering quality for generalizable human avatars from sparse views.