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May, 2023
DiffMatch: 密集匹配的扩散模型
DiffMatch: Diffusion Model for Dense Matching
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Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho...
TL;DR
提出了DiffMatch框架,使用基于扩散的条件去噪模型显式地建模了两个术语:数据项和先验项,以解决匹配模糊性问题,实验证明其优于现有技术。
Abstract
The objective for establishing
dense correspondence
between paired images consists of two terms: a data term and a
prior term
. While conventional techniques focused on defining hand-designed prior terms, which ar
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