https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136750176.pdfAbstractImage-based volumetric humans using pixel-aligned features promise generalization to unseen poses and identities. Prior work leverages global spatial encodings and multi-view geometric consistency to reduce spatial ambiguity. However, global encodings often suffer from overfitting to the distribution of the training da..