Lune

ICML2025顶会

MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification

Tianchi Xing, Bonan Li, Congying Han, Xinmin Qiu, Zicheng Zhang, Tiande Guo

出版方
2025年份

摘要

More consistent Figure 1: Generated multi-view images by applying MIRROR on SyncDreamer (Liu et al., 2023b) and VideoMV (Zuo et al., 2024) for rectification. MIRROR effectively improves the consistency of generated results in both image-based and text-based multi-view generation models.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

它引用的顶会 Paper20

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖