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.
We use 3 source images when com- paring with GoMAvatar, 3DGS-Avatar, iHuman, NHP, NIA and GHG
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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.