Summary
The LiTo paper proposes a novel 3D latent representation that jointly models object geometry and view-dependent appearance, overcoming limitations of prior works that struggled with realistic view-dependent effects. It achieves this by leveraging RGB-depth images to sample a surface light field, encoding random subsamples into a compact set of latent vectors. This approach enables a more comprehensive and realistic representation of 3D objects.
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