Lune

CVPR2024顶会

SketchINR: A First Look into Sketches as Implicit Neural Representations

Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song

2024年份
13顶会引用

摘要

Compressed Sketch Storage (Bytes) Figure 1 . SketchINR is an implicit neural representation for sequential vector sketches. It is the first neural representation with sufficient fidelity to be a drop-in replacement for the raw sketch data (a). The representation is significantly higher fidelity than existing learned representations such as SketchRNN [28], especially for more complex sketches (b, left). SketchINR also provides state-of-the-art sketch compression, with a substantially more compact representation than either vector or raster sketches (b, right).

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 Paper13

问问它们各自怎么用它

它引用的顶会 Paper23

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖