Feb 7, 2022 · We propose an efficient attention layer based on the stochastic algorithm PatchMatch, which is used for determining approximate nearest neighbors.

PatchMatch is an efficient, stochastic, algorithm for searching for ANNs of patches in images and videos, between a query image and a key image. PatchMatch ...

We propose an efficient attention layer based on the stochastic algorithm PatchMatch, which is used for determining approximate nearest neighbors.

This repository contains the code associated to the paper Patch-Based Stochastic Attention for Image Editing (https://arxiv.org/abs/2202.03163) PSAL is an ...

Mar 4, 2024 · We propose an efficient attention layer based on the stochastic algorithm PatchMatch, which is used for determining approximate nearest ...

May 30, 2024 · Attention mechanisms have become of crucial importance in deep learning in recent years. These non-local operations, which are similar to ...

Jan 1, 2024 · Attention mechanisms have become of crucial importance in deep learning in recent years. These non-local operations, which are similar to ...

In patch-based methods, information needed for filling in the missing region of damaged images are obtained using intact patches from different parts of ...

Feb 2, 2023 · A Patch-based Algorithm for Single Image Generation. 2. Patch-based Stochastic Attention. 3. Current work. 1. Page 3. A Patch-based Algorithm ...

May 6, 2021 · Image manipulation techniques formulating their outputs based on patch similarities or distances are referred to as patch-based techniques.