Aligning Misaligned Benchmarks for Single-View Novel View Synthesis
arXiv:2610.38349v1 Announce Type: cross Abstract: While single-view novel view synthesis methods have been dramatically enhanced recently, how to quantify their performance has yet to be standardized. In this work, we demonstrate that an important factor lies in how each method's own reference frame is aligned with the so-called ground-truth pose. Existing methods often rely on test-time optimization of target poses for this alignment, which inherently is ill-posed due to the complexity of the…