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Paper 'Reduce Information Loss in Transformers for Pluralistic Image Inpainting' in CVPR2022

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您好,我在使用命令:python scripts/inference.py --name transformer_mural --func inference_complet_sample_in_feature_for_evaluation --gpu 0 --batch_size 2 修复单个图像时,出现如下问题: 输入带有掩码的图像:![image](https://github.com/liuqk3/PUT/assets/72057128/728616b9-7e55-43d2-8a32-04a548b3e263) 修复的图像:![image](https://github.com/liuqk3/PUT/assets/72057128/0378107f-7f7d-4402-8e35-e2ed4788af7a)

Dear author, Thanks for sharing the code. I am greatly interested in your work. I have a question for you and would like your reply. In P-VQVAE, the masked and...

您好,我看到训练的时候,也会进行验证,能否使用自己的掩码进行验证?

Hello, Thanks for the excellent code. I face a problem with the inference. When I run the below code for image inpainting with provided transformer model: ‘python scripts/inference_inpainting.py --func inference_inpainting...

![图片](https://github.com/liuqk3/PUT/assets/105760324/bbfd5ccf-d39f-4aed-b97a-75a08f609756) 这行代码输出图片没问题,检查了原图和mask图输出都没问题。 但为什么? ![图片](https://github.com/liuqk3/PUT/assets/105760324/46810b4e-68ce-4be7-989e-69cf49b56d0e) 最终的conpleted图和原图不相干?有点困惑 原图: ![001-002](https://github.com/liuqk3/PUT/assets/105760324/7ee2a769-2b3a-4210-815b-0239dabd6fa3) mask: ![001-002](https://github.com/liuqk3/PUT/assets/105760324/bce219af-0e81-470d-9ab0-27f869ac7039) 补全图: ![001 _01](https://github.com/liuqk3/PUT/assets/105760324/f4fa463d-a35f-42fe-993c-071f805b0c26)

作者您好,我使用我的训练集进行模型训练一切正常,但在测试的时候遇到了问题。 我的任务和传统的修复有点差别,首先这是我的输入图片: ![001 _01](https://github.com/liuqk3/PUT/assets/105760324/76651ee5-1c0d-4458-ae6b-2f6b650b8e1f) 这个是mask: ![001 _01](https://github.com/liuqk3/PUT/assets/105760324/068df07d-6870-431b-a58f-f362a0edd43a) 我的意图就是用我的mask能恰好盖住我原始图上的空洞区域,然后进行修复。 但是遇到了问题,发现推理后的图片。并没有识别到我的mask区域,

Hi, Thanks for the excellent code, when I inference the pictures, My program output is: **KeyError: 'relative_path'** Then I found "relative_path" is a key of "data_i", but when I print...

Hello, I'm very interested in your article. Thank you for your great content. I encountered the following issue while running it. Could you please provide some guidance? Thank you. ![2023-12-06...

Hi, Thanks for your contribution,but I'm confused about the inference. I must run the Pvqvae inference first, `python scripts/inference.py --name OUTPUT/pvqvae_exp_name/checkpoint/last.pth --func inference_reconstruction --gpu 0 --batch_size 8` then run the...