Jinhyuk Jang

Correspondence-Attention Alignment for Multi-View Diffusion Models

Multi-view diffusion models have recently emerged as a powerful paradigm for novel view synthesis, yet the underlying mechanism that enables their view consistency remains unclear. In this work, we first verify that the attention maps of these models acquire geometric correspondence throughout train