Lune

CVPR2020顶会

Panoptic-Based Image Synthesis

Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro

2020年份
8顶会引用

摘要

Panoptic maps Baseline Ours Ours enlarged Baseline enlarged Figure 1. Unlike previous methods that rely on semantic and boundary label maps to synthesize images, our model uses panoptic maps. It generates instances with clear separation even in cluttered scenes where multiple instances occlude each other. The forth and fifth column show zoomed in patches from the second and third column images to highlight the boundaries between instances, where previous methods tend to blend instances together.

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 Paper8

问问它们各自怎么用它

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖