[读论文]- MVDiffusion: Enabling Holistic Multi-view ImageGeneration with Correspondence-Aware Diffusion

摘要

This paper introduces MVDiffusion, a simple yet effective multi-view image generation method for scenarios where pixel-to-pixel correspondences are available, such  as perspective crops from panorama or multi-view images given geometry (depth maps and poses).
Unlike prior models that rely on iterative image warping and inpainting, MVDiffusion concurrently generates all images with a global awareness, encompassing high resolution and rich content, effectively addressing the error accumulation prevalent in preceding models.
MVDiffusion specifically incorporates a correspondence-aware attention mechanism, enabling effective cross-view interaction.
This mechanism underpins three pivotal modules:
1) a generation module that produces low-resolution images while maintaining global correspondence,
2) an interpolation module that densifies spatial coverage between images, and
3) a super-resolution module that upscal