Lune

CVPR2024顶会

EscherNet: A Generative Model for Scalable View Synthesis

Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison

2024年份
41顶会引用

摘要

Figure 1. We introduce EscherNet, a diffusion model that can generate a flexible number of consistent target views (highlighted in blue) with arbitrary camera poses, based on a flexible number of reference views (highlighted in purple). EscherNet demonstrates remarkable precision in camera control and robust generalisation across synthetic and real-world images featuring multiple objects and rich textures.

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

引用它的顶会 Paper41

问问它们各自怎么用它

它引用的顶会 Paper32

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖